BibSLEIGH — segmentation tag

segmentation

segmentation

Tag #segmentation

1042 papers:

CIKM-2019-TanYHD #learning #multi #semantics: Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection (YT, LY, QH, ZD), pp. 831–840.
CASE-2019-IturrateRODS #assembly: Improving the Generalizability of Robot Assembly Tasks Learned from Demonstration via CNN-based Segmentation (II, ER, EHØ, VD, TRS), pp. 553–560.
CASE-2019-KhalidHKHT: Deep Workpiece Region Segmentation for Bin Picking (MUK, JMH, WK, MFH, MT), pp. 1138–1144.
CIKM-2018-LuoWHYZ #learning #semantics: Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning (YL, ZW, ZH, YY0, CZ), pp. 237–246.
ECIR-2018-BadjatiyaK0V: Attention-Based Neural Text Segmentation (PB, LJK, MG0, VV), pp. 180–193.
ICML-2018-MichaelisBE: One-Shot Segmentation in Clutter (CM, MB, ASE), pp. 3546–3555.
ICPR-2018-00040MLZLY #random: A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk (ZL0, YS0, CM, QL, YZ, HL, DY), pp. 1187–1192.
ICPR-2018-0005GHL #feature model #image #network: Feature Extraction and Grain Segmentation of Sandstone Images Based on Convolutional Neural Networks (FJ0, QG, HH, NL), pp. 2636–2641.
ICPR-2018-AbreuFVBDNW #2d #graph #image #modelling: Model-based graph segmentation in 2-D fluorescence microsecopy images (AA, FXF, SV, PB, PD, BN, CW), pp. 3844–3849.
ICPR-2018-BaiZZLZW #recognition: Continuous Action Recognition and Segmentation in Untrimmed Videos (RB, QZ, SZ, YL, XZ, JW), pp. 2534–2539.
ICPR-2018-ChangGJ #semantics: Depth-assisted RefineNet for Indoor Semantic Segmentation (MC, FG0, RJ), pp. 1845–1850.
ICPR-2018-CheQ #estimation #network: Dynamic Projected Segmentation Networks For Hand Pose Estimation (YC, YQ), pp. 477–482.
ICPR-2018-DaiHGX0GQ #detection #multi #network: Fused Text Segmentation Networks for Multi-oriented Scene Text Detection (YD, ZH, YG, YX, KC0, JG, WQ), pp. 3604–3609.
ICPR-2018-DharaAFWLS #interactive: Interactive Segmentation of Glioblastoma for Post-surgical Treatment Follow-up (AKD, EA, MF, JW, EML, RS), pp. 1199–1204.
ICPR-2018-FengHYL #detection: Scene Text Detection with Recurrent Instance Segmentation (WF, WH, FY, CLL), pp. 2227–2232.
ICPR-2018-GuanZT #semantics #top-down: Inception Donut Convolution for Top-down Semantic Segmentation (HG, ZZ, TT), pp. 2492–2497.
ICPR-2018-HuangCZZXN #image #semantics: Medical Knowledge Constrained Semantic Breast Ultrasound Image Segmentation (KH, HDC, YZ, BZ, PX, CN), pp. 1193–1198.
ICPR-2018-JiQYKZ #automation #image #network #using: Automatic Prostate Segmentation on MR Images Using Enhanced Holistically-Nested Networks (DJ, JQ, JY, TK, SZ), pp. 3820–3825.
ICPR-2018-KhareSNSGPL: Weighted-Gradient Features for Handwritten Line Segmentation (VK, PS, BJN, GCS, DSG, UP0, TL), pp. 3651–3656.
ICPR-2018-KurzendorferBSB #analysis #classification #random #using: Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification (TK, KB, SS, AB, CF, AKM), pp. 3168–3173.
ICPR-2018-LakraTKV0 #named: SegDenseNet: Iris Segmentation for Pre-and-Post Cataract Surgery (AL, PT, RK, MV, RS0), pp. 3150–3155.
ICPR-2018-LiciottiPPFZ #network #semantics #using: Convolutional Networks for Semantic Heads Segmentation using Top-View Depth Data in Crowded Environment (DL, MP, RP, EF, PZ), pp. 1384–1389.
ICPR-2018-LiHY0CHWL #network: Skin Lesion Segmentation via Dense Connected Deconvolutional Network (HL, XH, ZY, FZ0, JZC, LH, TW, BL), pp. 671–675.
ICPR-2018-LuoY #architecture #network #performance: Fast Skin Lesion Segmentation via Fully Convolutional Network with Residual Architecture and CRF (WL, MY), pp. 1438–1443.
ICPR-2018-MaGLLZ #3d #multi #named #network #semantics: 3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point Cloud Semantic Segmentation (YM, YG, YL, ML, JZ), pp. 1560–1566.
ICPR-2018-MaheMC #semantics #visual notation: Semantic-only Visual Odometry based on dense class-level segmentation (HM, DM, AIC), pp. 1989–1995.
ICPR-2018-NadeemHS #algorithm #automation #detection #image #using: An automated airway segmentation algorithm for CT images using topological leakage detection and volume freezing (SAN, EAH, PKS), pp. 1181–1186.
ICPR-2018-PiantadosiSS #network: Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks (GP, MS, CS), pp. 3917–3922.
ICPR-2018-PucherK #distance #edit distance: Segmentation Edit Distance (DP, WGK), pp. 1175–1180.
ICPR-2018-ShiL #analysis #video: A New Foreground Segmentation Method for Video Analysis in Different Color Spaces (HS, CL), pp. 2899–2904.
ICPR-2018-ShuiWYHGLZ #3d #multi #network: 3D Shape Segmentation Based on Viewpoint Entropy and Projective Fully Convolutional Networks Fusing Multi-view Features (PS, PW, FY, BH, YG, KL, YZ0), pp. 1056–1061.
ICPR-2018-SokehAMR #video: Superframes, A Temporal Video Segmentation (HSS, VA, DM, PR), pp. 566–571.
ICPR-2018-TuggenerESPS #classification #dataset #detection: DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects (LT, IE, JS, MP, TS), pp. 3704–3709.
ICPR-2018-WangK #image: Nuclei Segmentation of Cervical Cell Images Based on Intermediate Segment Qualifier (RW, SiK), pp. 3941–3946.
ICPR-2018-XieW #detection #multi #semantics: Multi-scale Semantic Segmentation Enriched Features for Pedestrian Detection (XX, ZW), pp. 2196–2201.
ICPR-2018-YamadaIYK #network #using: Texture Segmentation using Siamese Network and Hierarchical Region Merging (RY, HI, NY, TK), pp. 2735–2740.
ICPR-2018-YangLPKWSLDCTZ #3d #automation #image #network: Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module (GY, GL, TP, YK, JW, HS, LL, JLD, JLC, LT, XZ), pp. 3790–3795.
ICPR-2018-YuanTLDZ #automation #learning #multi #using: Fully Automatic Segmentation of the Left Ventricle Using Multi-Scale Fusion Learning (TY, QT, XL, XD, JZ), pp. 3838–3843.
ICPR-2018-ZhangJZZSLH #multi #named: SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation (YZ, XJ, CZ, YZ, ZS, ZL, ZH), pp. 3947–3952.
ICPR-2018-ZhaoLZTNM #analysis #automation #component #image #multi #robust #using: Automatic Multi-Atlas Segmentation for Abdominal Images Using Template Construction and Robust Principal Component Analysis (YZ0, HL0, RZ, GT, MN, BHM), pp. 3880–3885.
ICPR-2018-ZhongZ #performance #semantics: Efficient Object Region Discovery for Weakly-supervised Semantic Segmentation (MZ, GZ), pp. 2166–2171.
ICPR-2018-ZhuangTYMZJX #image #learning #named #representation #semantics: RelationNet: Learning Deep-Aligned Representation for Semantic Image Segmentation (YZ, LT, FY, CM, ZZ, HJ, XX), pp. 1506–1511.
KDD-2018-DaltayanniDA #automation #using: Automated Audience Segmentation Using Reputation Signals (MD, AD, LdA), pp. 186–195.
EDM-2017-ZhengSGWF #development #education #visualisation: Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data (LZ, RS, XG, BW, YF).
CIKM-2017-HuLSLL0Z #approach #information management #named #probability: CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation (MH, ZL, YS, AL0, GL0, KZ0, LZ0), pp. 1159–1168.
EDM-2016-BhartiyaCBSM #documentation #learning: Document Segmentation for Labeling with Academic Learning Objectives (DB, DC, SB, BS, MKM), pp. 282–287.
ECIR-2016-RoySGC #documentation #query #ranking: Improving Document Ranking for Long Queries with Nested Query Segmentation (RSR, AS, NG, MC), pp. 775–781.
ICPR-2016-Al-DulaimiBTC #automation #geometry #image #set #using: Automatic segmentation of HEp-2 cell Fluorescence microscope images using level set method via geometric active contours (KAD, JB, ITR, VC), pp. 81–83.
ICPR-2016-AlvenKLLU #multi: Shape-aware multi-atlas segmentation (JA, FK, ML, VL, JU), pp. 1101–1106.
ICPR-2016-AytekinIKG #graph: Salient object segmentation based on linearly combined affinity graphs (ÇA, AI, SK, MG), pp. 3769–3774.
ICPR-2016-BergamascoCSAT #estimation #multi: Dense multi-view homography estimation and plane segmentation (FB, LC, MS, AA, AT), pp. 3739–3744.
ICPR-2016-BobbiaBD: Remote photoplethysmography based on implicit living skin tissue segmentation (SB, YB, JD), pp. 361–365.
ICPR-2016-BorgaAL #image #learning: Semi-supervised learning of anatomical manifolds for atlas-based segmentation of medical images (MB, TA, ODL), pp. 3146–3149.
ICPR-2016-BulatovS #detection: Segmentation methods for detection of stationary vehicles in combined elevation and optical data (DB, HS), pp. 603–608.
ICPR-2016-ChenZC #image: Partial membership latent Dirichlet allocation for image segmentation (CC, AZ, JTC), pp. 2368–2373.
ICPR-2016-DaiDCLY #multi #rank #representation #using: Object segmentation using low-rank representation with multiple block-diagonal priors (LD, JD, JC, JL0, JY0), pp. 1959–1964.
ICPR-2016-DaiMZ #evolution #image #performance #set: A Bregman divergence based Level Set Evolution for efficient medical image segmentation (SD, HM, SZ), pp. 1113–1118.
ICPR-2016-FoareLT16a #calculus #functional #image #using: Image restoration and segmentation using the Ambrosio-Tortorelli functional and Discrete Calculus (MF, JOL, HT), pp. 1418–1423.
ICPR-2016-GaoCZFZ #image #using: Texture image segmentation using fused features and active contour (MG, HC, SZ, BF0, LZ), pp. 2036–2041.
ICPR-2016-GarciaHSFTB #semantics: Semantic segmentation priors for object discovery (GMG, FH, HS, SF, CT, SB), pp. 549–554.
ICPR-2016-HafriJLT: Dual active contours model for HR-pQCT cortical bone segmentation (MH, RJ, EL, HT), pp. 2270–2275.
ICPR-2016-HuynhXG #image #representation: Morphology-based hierarchical representation with application to text segmentation in natural images (LDH, YX, TG), pp. 4029–4034.
ICPR-2016-ItoMYA #interactive: Interactive region segmentation for manga (KI, YM, TY, KA), pp. 2386–2391.
ICPR-2016-JafariKNSSWN #image #learning #using: Skin lesion segmentation in clinical images using deep learning (MHJ, NK, ENE, SS, SMRS, KRW, KN), pp. 337–342.
ICPR-2016-JohnKGNMI #learning #modelling #performance #using: Fast road scene segmentation using deep learning and scene-based models (VJ, KK, CG, HTN, SM, KI), pp. 3763–3768.
ICPR-2016-KannaoG: Story segmentation in TV news broadcast (RK, PG), pp. 2948–2953.
ICPR-2016-KhelifiM #approach #image #multi #problem: A multi-objective approach based on TOPSIS to solve the image segmentation combination problem (LK, MM), pp. 4220–4225.
ICPR-2016-KhodabandehMVMP #learning #video: Unsupervised learning of supervoxel embeddings for video Segmentation (MK, SM, AV, NM, EMP, SS, GM), pp. 2392–2397.
ICPR-2016-LiSH #image #precise: Precise hand segmentation from a single depth image (ML, LS0, QH), pp. 2398–2403.
ICPR-2016-LiuHWLL #image #performance #retrieval #using: Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree (YL0, LH0, SW, XL, BL), pp. 1929–1934.
ICPR-2016-MarronePFPSS #fuzzy #using: Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI (SM0, GP, RF, AP, MS, CS), pp. 1472–1477.
ICPR-2016-NahaW16a #learning #using: Object figure-ground segmentation using zero-shot learning (SN, YW0), pp. 2842–2847.
ICPR-2016-NairKNG #documentation #network #using: Segmentation of highly unstructured handwritten documents using a neural network technique (RRN, BUK, IN, VG), pp. 1291–1296.
ICPR-2016-NaminAP #2d #3d #higher-order #semantics #using: 2D-3D semantic segmentation using cardinality as higher-order loss (SRN, JMA, LP), pp. 3775–3780.
ICPR-2016-NguyenKDCPC16a #fault: Segmentation of defects on log surface from terrestrial lidar data (VTN, BK, IDR, FC, AP, TC), pp. 3168–3173.
ICPR-2016-PrasathKOGHSP #classification #random #using: HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests (VBSP, YMK, ZAO, JBG, AH, GS, KP), pp. 90–95.
ICPR-2016-RubioYSM #bound #named: BASS: Boundary-Aware Superpixel Segmentation (AR, LY, ESS, FMN), pp. 2824–2829.
ICPR-2016-ShangWHF0N: Character region segmentation based on Stroke Stable Regions (HS, LW, TH, WF0, JS0, SN), pp. 3975–3980.
ICPR-2016-ShigetaMKSTMI #using: A bone marrow cavity segmentation method using wavelet-based texture feature (HS, TM, JK, SS, HT, HM, MI), pp. 2133–2138.
ICPR-2016-ShimodaY: Weakly-supervised segmentation by combining CNN feature maps and object saliency maps (WS, KY), pp. 1935–1940.
ICPR-2016-SuJWSW #network #novel #recognition: Novel character segmentation method for overlapped Chinese handwriting recognition based on LSTM neural networks (TS, SJ, QW, LS, RW), pp. 1141–1146.
ICPR-2016-Troya-GalvisGB #analysis #classification #collaboration #image: Collaborative segmentation and classification for remote sensing image analysis (ATG, PG, LBÉ), pp. 829–834.
ICPR-2016-XianXCZD #effectiveness #interactive #named: EISeg: Effective interactive segmentation (MX, FX, HDC, YZ, JD), pp. 1982–1987.
CASE-2016-QiuYLFW #comprehension #semantics: Semantic motion segmentation for urban dynamic scene understanding (FQ, YY0, HL, MF, SW), pp. 497–502.
DocEng-2015-FilhoM #physics: Segmentation of Overlapping Digits through the Emulation of a Hypothetical Ball and Physical Forces (ANGLF, CABM), pp. 223–226.
DocEng-2015-SarkisCD #approach #multi #named #web: MSoS: A Multi-Screen-Oriented Web Page Segmentation Approach (MS, CC, JCD), pp. 85–88.
DRR-2015-DavisBS #documentation: Min-cut segmentation of cursive handwriting in tabular documents (BLD, WAB, SDS), p. 940208.
DRR-2015-MehriSHGAM #documentation #image #using: Use of SLIC superpixels for ancient document image enhancement and segmentation (MM, NS, PH, PGK, NEBA, RM), p. 940205.
EDM-2015-AlHarbiH #automation #modelling #topic #using: Using Topic Segmentation Models for the Automatic Organisation of MOOCs resources (GA, TH), pp. 524–527.
AIIDE-2015-Valls-VargasOZ #game studies #predict: Exploring Player Trace Segmentation for Dynamic Play Style Prediction (JVV, SO, JZ), pp. 93–99.
DHM-EH-2015-GeurtsSKBL #3d #algorithm #comparison #image #modelling #statistics #visual notation: Visual Comparison of 3D Medical Image Segmentation Algorithms Based on Statistical Shape Models (AG, GS, AK, MB, TvL), pp. 336–344.
ICML-2015-HockingRB #detection #learning #named: PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data (TH, GR, GB), pp. 324–332.
ICML-2015-WangWLCW #learning #multi: Multi-Task Learning for Subspace Segmentation (YW, DPW, QL, WC, IJW), pp. 1209–1217.
KDD-2015-KuoWWCYD #graph #multi: Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation (CTK, XW, PBW, OTC, JY, ID), pp. 617–626.
SAC-2015-SanojaG #evaluation #web: Web page segmentation evaluation (AS, SG), pp. 753–760.
CASE-2015-ChanW #optimisation: Progressive segmentation for MRR-based feed-rate optimization in CNC machining (KCC, CCLW), pp. 691–696.
CASE-2015-ClevelandTDPKDB #automation #programming #recognition #semantics: An automated system for semantic object labeling with soft object recognition and dynamic programming segmentation (JC, DT, PD, CJP, TK, KD, JB, VK), pp. 683–690.
CASE-2015-LinHK #algorithm #fuzzy #image: A noise- and size-insensitive integrity-based fuzzy c-means algorithm for image segmentation (PLL, PWH, CHK), pp. 1282–1287.
DocEng-2014-DadachevBB #automation #on the: On automatic text segmentation (BD, AB, HB), pp. 73–80.
DRR-2014-DaherB #documentation: Document flow segmentation for business applications (HD, AB), p. ?–11.
DRR-2014-LemaitreCC #image #using: Handwritten text segmentation using blurred image (AL, JC, BC), p. ?–12.
DRR-2014-MaXA #algorithm #machine learning #video: A machine learning based lecture video segmentation and indexing algorithm (DM, BX, GA), p. ?–8.
DRR-2014-WuZCLN #framework #markov #recognition: A Markov chain based line segmentation framework for handwritten character recognition (YW, SZ, HC, DL, PN), p. ?–12.
ICSME-2014-WongXZHZM #analysis #fault #locality: Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis (CPW, YX, HZ, DH, LZ, HM), pp. 181–190.
DUXU-DI-2014-HeZL #detection #fault #feature model #image: Aluminum CT Image Defect Detection Based on Segmentation and Feature Extraction (NH, LZ, KL), pp. 446–454.
ICPR-2014-0005ZTS #detection: Human Hair Segmentation and Length Detection for Human Appearance Model (YW, ZZ, EKT, BS), pp. 450–454.
ICPR-2014-AghdamPS #adaptation #probability: Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms (HHA, DP, AS), pp. 3357–3362.
ICPR-2014-AlathariNB #using: Femur Bone Segmentation Using a Pressure Analogy (TSA, MSN, MTB), pp. 972–977.
ICPR-2014-AytekinKG #automation #quantum: Automatic Object Segmentation by Quantum Cuts (ÇA, SK, MG), pp. 112–117.
ICPR-2014-BargiXP #adaptation #classification #infinity #learning #online #streaming: An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data (AB, RYDX, MP), pp. 3440–3445.
ICPR-2014-CaiWES: Object Segmentation Based on Contour-Skeleton Duality (LC, FW, VE, HS), pp. 2537–2542.
ICPR-2014-CaoMS #image: Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images (YC, PM, TSM), pp. 568–573.
ICPR-2014-CetinaMB #case study #comparative: A Comparative Study of Feature Descriptors for Mitochondria and Synapse Segmentation (KC, PMN, LB), pp. 3215–3220.
ICPR-2014-ChenWLHI #image #robust #using: Robust Text Line Segmentation for Historical Manuscript Images Using Color and Texture (KC, HW, ML, JH, RI), pp. 2978–2983.
ICPR-2014-CoteA: Sparseness-Based Descriptors for Texture Segmentation (MC, ABA), pp. 1108–1113.
ICPR-2014-DaherBBD #documentation #multi: Multipage Administrative Document Stream Segmentation (HD, MRB, AB, VPD), pp. 966–971.
ICPR-2014-DahlCB #image #multi #using: Multiphase Image Segmentation Using the Deformable Simplicial Complex Method (VAD, ANC, JAB), pp. 1002–1007.
ICPR-2014-Desrosiers #adaptation #approach #image #performance #random: A Fast and Adaptive Random Walks Approach for the Unsupervised Segmentation of Natural Images (CD), pp. 130–135.
ICPR-2014-DuanHZCZ #image #using: A Two-Stage Image Segmentation Method Using Euler’s Elastica Regularized Mumford-Shah Model (YD, WH, JZ, HC, TZ), pp. 118–123.
ICPR-2014-FanL: Segment-Forest for Segmentation (HF, HL), pp. 990–995.
ICPR-2014-ForsbergM #image: Evaluating Cell Nuclei Segmentation for Use on Whole-Slide Images in Lung Cytology (DF, NM), pp. 3380–3385.
ICPR-2014-GaoATHRE #hybrid #image #multi: Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images (QG, AA, TT, YH, DR, PJE), pp. 3298–3303.
ICPR-2014-HaindlM #contest #image: Unsupervised Image Segmentation Contest (MH, SM), pp. 1484–1489.
ICPR-2014-HaqBBA #modelling #using: Using Shape-Aware Models for Lumbar Spine Intervertebral Disc Segmentation (RH, DAB, RCB, MAA), pp. 3191–3196.
ICPR-2014-HavaeiJL #classification #interactive #performance: Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification (MH, PMJ, HL), pp. 556–561.
ICPR-2014-HofbauerAWBU: A Ground Truth for Iris Segmentation (HH, FAF, PW, JB, AU), pp. 527–532.
ICPR-2014-KurtekS #analysis #using: Handwritten Text Segmentation Using Elastic Shape Analysis (SK, AS), pp. 2501–2506.
ICPR-2014-LandgrenOH #image #using: A Measure of Septum Shape Using Shortest Path Segmentation in Echocardiographic Images of LVAD Patients (ML, NCO, AH), pp. 3398–3403.
ICPR-2014-LeoMD: Highly Usable and Accurate Iris Segmentation (ML, TDM, CD), pp. 2489–2494.
ICPR-2014-LermeRBPK #adaptation #image: Segmentation of Retinal Arteries in Adaptive Optics Images (NL, FR, IB, MP, EK), pp. 574–579.
ICPR-2014-LiuCL #detection: Exploring Depth Information for Object Segmentation and Detection (TLL, KYC, SHL), pp. 4340–4345.
ICPR-2014-LuoZW #image #using: Image Fusion Using Region Segmentation and Sigmoid Function (XL, ZZ, XW), pp. 1049–1054.
ICPR-2014-ManfrediGC #energy #graph #image #learning: Learning Graph Cut Energy Functions for Image Segmentation (MM, CG, RC), pp. 960–965.
ICPR-2014-MatveevG #approximate #detection: Iris Segmentation System Based on Approximate Feature Detection with Subsequent Refinements (IM, KG), pp. 1704–1709.
ICPR-2014-NeubertP #algorithm #trade-off: Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms (PN, PP), pp. 996–1001.
ICPR-2014-OrriteRHRV #automation #recognition #sequence: Automatic Segmentation and Recognition of Human Actions in Monocular Sequences (CO, MR, EH, GR, SAV), pp. 4218–4223.
ICPR-2014-Ozay #image #multi: Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images (MO), pp. 3839–3844.
ICPR-2014-PanagiotakisAM #animation #novel: Temporal Segmentation and Seamless Stitching of Motion Patterns for Synthesizing Novel Animations of Periodic Dances (CP, AAA, DM), pp. 1892–1897.
ICPR-2014-PuZ #algorithm #video: Sandwich Cut: An Algorithm for Temporally-Coherent Video Bilayer Segmentation (SP, HZ), pp. 1061–1066.
ICPR-2014-SengerSMK #behaviour #multi: Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior (LS, MS, JHM, EAK), pp. 4564–4569.
ICPR-2014-SjolundJAKN: Skull Segmentation in MRI by a Support Vector Machine Combining Local and Global Features (JS, AEJ, MTA, HK, HN), pp. 3274–3279.
ICPR-2014-TegenWHOJMNA #image #semantics #using: Image Segmentation and Labeling Using Free-Form Semantic Annotation (AT, RW, LH, MO, FJ, DM, PN, KÅ), pp. 2281–2286.
ICPR-2014-TianLL #image #modelling: A Histogram-Based Chan-Vese Model Driven by Local Contrast Pattern for Texture Image Segmentation (HT, YL, JHL), pp. 954–959.
ICPR-2014-TianLST #multi: Scene Text Segmentation with Multi-level Maximally Stable Extremal Regions (ST, SL, BS, CLT), pp. 2703–2708.
ICPR-2014-TrichetN #recognition #video: Video Segmentation Descriptors for Event Recognition (RT, RN), pp. 1940–1945.
ICPR-2014-UbukataSTMKMU #detection #image #performance: Fast Human Detection Combining Range Image Segmentation and Local Feature Based Detection (TU, MS, KT, AM, TK, GM, KU), pp. 4281–4286.
ICPR-2014-WangS #automation #dataset #multi #using: Automatic Multi-organ Segmentation in Non-enhanced CT Datasets Using Hierarchical Shape Priors (CW, ÖS), pp. 3327–3332.
ICPR-2014-WangSY #realtime: Real-Time Tracking Combined with Object Segmentation (HW, NS, YY), pp. 4098–4103.
ICPR-2014-WangZZ: An Improved BET Method for Brain Segmentation (LW, ZZ, RZ), pp. 3221–3226.
ICPR-2014-WuHYWT #image #network: Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation (ZW, YH, YY, LW, TT), pp. 1538–1543.
ICPR-2014-XianCZ #approach #automation #image: A Fully Automatic Breast Ultrasound Image Segmentation Approach Based on Neutro-Connectedness (MX, HDC, YZ), pp. 2495–2500.
ICPR-2014-YangCC #adaptation: Geodesic Active Contours with Adaptive Configuration for Cerebral Vessel and Aneurysm Segmentation (XY, KT(C, AC), pp. 3209–3214.
ICPR-2014-YanTZZBYMM #assessment #automation: Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI (ZY, CT, SZ, YZ, BB, HJY, CM, DNM), pp. 3280–3285.
ICPR-2014-ZhaoTHTY #comparison #performance: A Performance Comparison between Circular and Spline-Based Methods for Iris Segmentation (YZ, CT, XH, AOT, RY), pp. 351–356.
SIGIR-2014-BingGLNW #classification #predict #web: Web page segmentation with structured prediction and its application in web page classification (LB, RG, WL, ZYN, HW), pp. 767–776.
SIGIR-2014-LiuL #learning #probability #word: Probabilistic ensemble learning for vietnamese word segmentation (WL, LL), pp. 931–934.
SIGIR-2014-RoyVGC #query #sequence #using: Improving unsupervised query segmentation using parts-of-speech sequence information (RSR, YV, NG, MC), pp. 935–938.
CASE-2014-RenfrewHHC #automation #image: Automated segmentation and characterization of ion-abrasion scanning electron microscopy fuel cell images (MR, NH, AH, MCC), pp. 56–60.
DocEng-2013-CarelCBO #clustering #documentation #image: Dominant color segmentation of administrative document images by hierarchical clustering (EC, VC, JCB, JMO), pp. 115–118.
DRR-2013-KumarPR #image #named #recognition #word: NESP: Nonlinear enhancement and selection of plane for optimal segmentation and recognition of scene word images (DK, MNAP, AGR).
DRR-2013-MehriGHM #analysis #documentation #image #multi #using: Old document image segmentation using the autocorrelation function and multiresolution analysis (MM, PGK, PH, RM).
DRR-2013-SvendsenA #documentation: Document segmentation via oblique cuts (JS, ABA).
DRR-2013-XuTTS #documentation: Graphic composite segmentation for documents with complex layouts (CX, ZT, XT, CS).
DRR-2013-YangP #documentation: Local projection-based character segmentation method for historical Chinese documents (LY, LP).
DRR-2013-YouSADT13a #image #ontology #pointer #retrieval #robust #towards #visual notation: A robust pointer segmentation in biomedical images toward building a visual ontology for biomedical article retrieval (DY, MSS, SA, DDF, GRT).
ICDAR-2013-AhmedSLD #using: A Generic Method for Stamp Segmentation Using Part-Based Features (SA, FS, ML, AD), pp. 708–712.
ICDAR-2013-ChenYL #hybrid #performance: Hybrid Page Segmentation with Efficient Whitespace Rectangles Extraction and Grouping (KC, FY, CLL), pp. 958–962.
ICDAR-2013-Deryagin #evaluation #performance: Unified Performance Evaluation for OCR Zoning: Calculating Page Segmentation’s Score, That Includes Text Zones, Tables and Non-text Objects (DD), pp. 953–957.
ICDAR-2013-DingsAE #approach: A Locale Group Based Line Segmentation Approach for Non Uniform Skewed and Curved Arabic Handwritings (LD, AAH, ME), pp. 803–806.
ICDAR-2013-GordoRKB #classification #documentation: Document Classification and Page Stream Segmentation for Digital Mailroom Applications (AG, MR, DK, ADB), pp. 621–625.
ICDAR-2013-LebourgeoisDGD #documentation #image #performance: Fast Integral MeanShift: Application to Color Segmentation of Document Images (FL, FD, DG, JD), pp. 52–56.
ICDAR-2013-Lehal: Ligature Segmentation for Urdu OCR (GSL), pp. 1130–1134.
ICDAR-2013-LuTLGWW #image #tablet: Stroke-Based Character Segmentation of Low-Quality Images on Ancient Chinese Tablet (XL, ZT, YL, LG, TW, ZW), pp. 240–244.
ICDAR-2013-LvHWL #online #realtime #recognition: Learning-Based Candidate Segmentation Scoring for Real-Time Recognition of Online Overlaid Chinese Handwriting (YFL, LLH, DHW, CLL), pp. 74–78.
ICDAR-2013-MaW #automation #component #database #online #optimisation: Semi-automatic Tibetan Component Annotation from Online Handwritten Tibetan Character Database by Optimizing Segmentation Hypotheses (LLM, JW), pp. 1340–1344.
ICDAR-2013-RoySSJ #documentation #n-gram #using: Character N-Gram Spotting on Handwritten Documents Using Weakly-Supervised Segmentation (UR, NS, KPS, CVJ), pp. 577–581.
ICDAR-2013-SharmaSPBT #multi #video #word: A New Method for Character Segmentation from Multi-oriented Video Words (NS, PS, UP, MB, CLT), pp. 413–417.
ICDAR-2013-ShivramZSNG #online #random #recognition #word: Segmentation Based Online Word Recognition: A Conditional Random Field Driven Beam Search Strategy (AS, BZ, SS, MN, VG), pp. 852–856.
ICDAR-2013-StamatopoulosGLPA #contest: ICDAR 2013 Handwriting Segmentation Contest (NS, BG, GL, UP, AA), pp. 1402–1406.
ICDAR-2013-WangLSL: Triangular Mesh Based Stroke Segmentation for Chinese Calligraphy (XW, XL, LS, ML), pp. 1155–1159.
ICDAR-2013-WangSZ #component #detection #multi: Natural Scene Text Detection with Multi-channel Connected Component Segmentation (XW, YS, YZ), pp. 1375–1379.
ICDAR-2013-ZhouFLW: Scene Text Segmentation via Inverse Rendering (YZ, JLF, EGLM, RW), pp. 457–461.
ICDAR-2013-ZirariENM #analysis #component #documentation #image #using: A Document Image Segmentation System Using Analysis of Connected Components (FZ, AE, SN, DM), pp. 753–757.
VLDB-2013-WangWPWH #adaptation: A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series (YW, PW, JP, WW, SH), pp. 793–804.
DUXU-CXC-2013-Chang #evaluation #usability: Usability Evaluation of Two Chinese Segmentation Methods in Subtitles to Scaffold Chinese Novice (CKC), pp. 28–37.
DUXU-NTE-2013-Shieh #design #using: Designing a Product Satisfaction Model Using Customer Segmentation and Information Consolidation (MDS), pp. 568–577.
HCI-III-2013-HeLWG #image #using: Semi-supervised Remote Sensing Image Segmentation Using Dynamic Region Merging (NH, KL, YW, YG), pp. 153–162.
HCI-III-2013-YangWC #clustering #fuzzy #image #kernel #similarity: Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation (YY, YW, YmC), pp. 246–253.
CIKM-2013-ParikhSH #on the #query: On segmentation of eCommerce queries (NP, PS, MAH), pp. 1137–1146.
ECIR-2013-UstinovskyMS #process: Intent-Based Browse Activity Segmentation (YU, AM, PS), pp. 242–253.
MLDM-2013-HuangC #image #lightweight #web: Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation (CMH, YJC), pp. 183–194.
SIGIR-2013-Galuscakova #documentation #retrieval: Segmentation strategies for passage retrieval in audio-visual documents (PG), p. 1143.
SIGIR-2013-JameelL #order #topic #word: An unsupervised topic segmentation model incorporating word order (SJ, WL), pp. 203–212.
SIGIR-2013-LiSWH #hybrid #twitter: Exploiting hybrid contexts for Tweet segmentation (CL, AS, JW, QH), pp. 523–532.
SAC-2013-MadeoLP #gesture #rest #using: Gesture unit segmentation using support vector machines: segmenting gestures from rest positions (RCBM, CAML, SMP), pp. 46–52.
DAC-2013-YeWHL #parallel #simulation: Time-domain segmentation based massively parallel simulation for ADCs (ZY, BW, SH, YL), p. 6.
DocEng-2012-ChenZ #effectiveness #towards: Effective radical segmentation of offline handwritten Chinese characters towards constructing personal handwritten fonts (ZC, BZ), pp. 107–116.
DocEng-2012-PalfrayHNTP #logic: Logical segmentation for article extraction in digitized old newspapers (TP, DH, SN, PT, TP), pp. 129–132.
DRR-2012-MaA #video: Lecture video segmentation and indexing (DM, GA).
DRR-2012-OujiLL #documentation: Comprehensive color segmentation system for noisy digitized documents to enhance text extraction (AO, YL, FL).
CIG-2012-GongLAZLC #game studies #realtime: In-game action list segmentation and labeling in real-time strategy games (WG, EPL, PA, FZ0, DL0, FCTC), pp. 147–154.
EDOC-2012-BinzLNS #analysis #enterprise #graph transformation: Improving the Manageability of Enterprise Topologies Through Segmentation, Graph Transformation, and Analysis Strategies (TB, FL, AN, DS), pp. 61–70.
CIKM-2012-DeepakVWS #documentation: Two-part segmentation of text documents (PD, KV, NW, SS), pp. 793–802.
CIKM-2012-HagenPBS #query #towards: Towards optimum query segmentation: in doubt without (MH, MP, AB, BS), pp. 1015–1024.
ICPR-2012-0001ZP #using: Unsupervised dynamic texture segmentation using local descriptors in volumes (JC, GZ, MP), pp. 3622–3625.
ICPR-2012-AnhNKKL #automation #geometry #performance: Fast automatic saliency map driven geometric active contour model for color object segmentation (NTLA, VQN, EK, SHK, GL), pp. 2557–2560.
ICPR-2012-AyechZ #clustering #feature model #image #modelling #statistics: Terahertz image segmentation based on K-harmonic-means clustering and statistical feature extraction modeling (MWA, DZ), pp. 222–225.
ICPR-2012-BergamascoATFZ: Pairwise similarities for scene segmentation combining color and depth data (FB, AA, AT, MF, PZ), pp. 3565–3568.
ICPR-2012-BholeP #automation: Automated person segmentation in videos (CB, CJP), pp. 3672–3675.
ICPR-2012-BoulmerkaA #using: Thresholding-based segmentation revisited using mixtures of generalized Gaussian distributions (AB, MSA), pp. 2894–2897.
ICPR-2012-ClausnerAP #approach #documentation #hybrid #robust: A robust hybrid approach for text line segmentation in historical documents (CC, AA, SP), pp. 335–338.
ICPR-2012-Dai #automation: Automatic segmentation fusing color and depth (XD), pp. 763–766.
ICPR-2012-DaiBWT: Retinal vessel segmentation via Iterative Geodesic Time Transform (BD, WB, XW, YT), pp. 561–564.
ICPR-2012-DaiC #precise: Combining contrast saliency and region discontinuity for precise hand segmentation in projector-camera system (JD, RC), pp. 2161–2164.
ICPR-2012-DaiLDY: CCTA-based region-wise segmentation (LD, JL, JD, JY), pp. 238–241.
ICPR-2012-DuanHC #approach #image: Shape prior regularized continuous max-flow approach to image segmentation (YD, WH, HC), pp. 2516–2519.
ICPR-2012-FernandezT #documentation #using: Document segmentation using Relative Location Features (FCF, ORT), pp. 1562–1565.
ICPR-2012-FreytagFRD #kernel #performance #process #semantics: Efficient semantic segmentation with Gaussian processes and histogram intersection kernels (AF, BF, ER, JD), pp. 3313–3316.
ICPR-2012-GaoY #automation: Saliency-seeded localizing region-based active contour for automatic natural object segmentation (SG, JY), pp. 3644–3647.
ICPR-2012-GhoseMOMLFVCSM #functional #probability: A Mumford-Shah functional based variational model with contour, shape, and probability prior information for prostate segmentation (SG, JM, AO, RM, XL, JF, JCV, JC, DS, FM), pp. 121–124.
ICPR-2012-GhoseMOMLFVCSM12a #3d #energy #framework #graph #learning #probability: Graph cut energy minimization in a probabilistic learning framework for 3D prostate segmentation in MRI (SG, JM, AO, RM, XL, JF, JCV, JC, DS, FM), pp. 125–128.
ICPR-2012-GiancardoSSPM #multi: Segmentation and tracking of multiple interacting mice by temperature and shape information (LG, DS, DS, FP, VM), pp. 2520–2523.
ICPR-2012-GranaCBC #image #learning: Learning non-target items for interesting clothes segmentation in fashion images (CG, SC, DB, RC), pp. 3317–3320.
ICPR-2012-HuynhR: Illuminant segmentation in non-uniformly lit scenes (CPH, ARK), pp. 3664–3667.
ICPR-2012-IwasakiKN: Dense motion segmentation of articulated objects in crowds (MI, AK, KN), pp. 861–865.
ICPR-2012-JetleyBKN #documentation #hybrid #image: Two-stage hybrid binarization around fringe map based text line segmentation for document images (SJ, SB, VKK, AN), pp. 343–346.
ICPR-2012-JiS #clustering #robust: Robust motion segmentation via refined sparse subspace clustering (HJ, FS), pp. 1546–1549.
ICPR-2012-LiangM #multi: Object segmentation in multiple views without camera calibration (QL, ZM), pp. 890–893.
ICPR-2012-LiL12a #image #invariant: Scale-invariant sampling for supervised image segmentation (YL, ML), pp. 1399–1402.
ICPR-2012-LiuJSET #classification #image: Watershed merge tree classification for electron microscopy image segmentation (TL, EJ, MS, MHE, TT), pp. 133–137.
ICPR-2012-MalmbergSNK: Seeded segmentation based on object homogeneity (FM, RS, RN, JK), pp. 21–24.
ICPR-2012-MorinDD #approach #multi #random: A random walk approach for multiatlas-based segmentation (JPM, CD, LD), pp. 3636–3639.
ICPR-2012-MujumdarVK #framework #multi #novel #using: A novel framework for segmentation of stroke lesions in Diffusion Weighted MRI using multiple b-value data (SM, RV, LTK), pp. 3762–3765.
ICPR-2012-NakamuraHSM #image #named #parametricity: HDP-MRF: A hierarchical Nonparametric model for image segmentation (TN, TH, TS, TM), pp. 2254–2257.
ICPR-2012-NarayanR #using: Motion segmentation using curve fitting on Lagrangian particle trajectories (SN, KRR), pp. 3692–3695.
ICPR-2012-NguyenPRPV #detection #multi #video: Multi-modal abnormality detection in video with unknown data segmentation (TVN, DQP, SR, DSP, SV), pp. 1322–1325.
ICPR-2012-NurunnabiBW #3d #multi #robust: Robust segmentation for multiple planar surface extraction in laser scanning 3D point cloud data (AN, DB, GAWW), pp. 1367–1370.
ICPR-2012-OGorman #fault #privacy #video: Video privacy filters with tolerance to segmentation errors for video conferencing and surveillance (LO), pp. 1835–1838.
ICPR-2012-PaulhacTM #image: Relaxed Cheeger Cut for image segmentation (LP, VTT, RM), pp. 3321–3324.
ICPR-2012-PengWK: A new convex variational model for liver segmentation (JP, JW, DK), pp. 3754–3757.
ICPR-2012-PotapovaZV #3d: Attention-driven segmentation of cluttered 3D scenes (EP, MZ, MV), pp. 3610–3613.
ICPR-2012-RayAZ #programming: Seeing through clutter: Snake computation with dynamic programming for particle segmentation (NR, STA, HZ), pp. 801–804.
ICPR-2012-RichtsfeldZV #implementation: Implementation of Gestalt principles for object segmentation (AR, MZ, MV), pp. 1330–1333.
ICPR-2012-RodriguesPBPM #image #multi #towards #using: Towards breast ultrasound image segmentation using multi-resolution pixel descriptors (RR, AMGP, RB, MP, JM), pp. 2833–2836.
ICPR-2012-SankaranarayananD #locality #modelling: Segmentation and scene modeling for MIL-based target localization (KS, JWD), pp. 3325–3328.
ICPR-2012-SenletE #image: Segmentation of occluded sidewalks in satellite images (TS, AME), pp. 805–808.
ICPR-2012-Srikham: Active contours segmentation with edge based and local region based (MS), pp. 1989–1992.
ICPR-2012-WahlbergB #graph: Graph based line segmentation on cluttered handwritten manuscripts (FW, AB), pp. 1570–1573.
ICPR-2012-WangGFC #analysis: Curvature-driven volumetric segmentation of binary shapes: An application to snow microstructure analysis (XW, LG, FF, DC), pp. 742–745.
ICPR-2012-WangXZH #concurrent #image: Concurrent segmentation of categorized objects from an image collection (LW, JX, NZ, GH), pp. 3309–3312.
ICPR-2012-WeberBLS #learning: Unsupervised motion pattern learning for motion segmentation (MW, GB, ML, DS), pp. 202–205.
ICPR-2012-WeiY #representation: Subspace segmentation with a Minimal Squared Frobenius Norm Representation (SW, YY), pp. 3509–3512.
ICPR-2012-XieHWL #estimation #video: Moving Objects Segmentation from compressed surveillance video based on Motion Estimation (DX, ZH, SW, HL), pp. 3132–3135.
ICPR-2012-XiongCLLSA #image #reduction: Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction (WX, SCC, JHL, HKL, SS, SA), pp. 1623–1626.
ICPR-2012-XueVLW #adaptation #framework #multi: A modified KLT multiple objects tracking framework based on global segmentation and adaptive template (KX, PAV, YL, YW), pp. 3561–3564.
ICPR-2012-ZhangW #image: An image fusion method based on region segmentation and Cauchy convolution (YQZ, XJW), pp. 392–395.
ICPR-2012-ZhangYCLZ #clustering #video: Video object segmentation by clustering region trajectories (GZ, ZY, DC, YL, NZ), pp. 2598–2601.
ICPR-2012-ZhangZX: MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities (ZZ, QZ, YX), pp. 89–92.
ICPR-2012-ZhuSX #performance: An efficient r-KDE model for the segmentation of dynamic scenes (QZ, ZS, YX), pp. 198–201.
ICPR-2012-Zografos: Enhancing motion segmentation by combination of complementary affinities (VZ), pp. 2198–2201.
ICPR-2012-ZouKR #image #semantics #using: Semantic image segmentation using region bank (WZ, KK, JR), pp. 922–925.
KDD-2012-HaiderCB #clustering: Discriminative clustering for market segmentation (PH, LC, UB), pp. 417–425.
KEOD-2012-SuzukiF #overview #similarity #using #word: Segmentation of Review Texts by using Thesaurus and Corpus-based Word Similarity (YS, FF), pp. 381–384.
MLDM-2012-PaliwalP #clustering #documentation: Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering (SP, VP), pp. 555–565.
SIGIR-2012-RoyGCL #evaluation #framework #query #web: An IR-based evaluation framework for web search query segmentation (RSR, NG, MC, SL), pp. 881–890.
SAC-2012-CarvalhoSG #adaptation #fuzzy #using: Texture fuzzy segmentation using adaptive affinity functions (BMC, TSS, EG), pp. 51–53.
SAC-2012-ChenZD #algorithm #effectiveness #search-based #using: Effective radical segmentation of offline handwritten Chinese characters by using an enhanced snake model and Genetic Algorithm (ZC, BZ, SD), pp. 54–55.
SAC-2012-RibasOBS #algorithm: Assessing handwitten digit segmentation algorithms (FR, LSO, AdSBJ, RS), pp. 772–776.
SAC-2012-YuHJSLH #novel #programming: A novel segmentation method for convex lesions based on dynamic programming with local intra-class variance (MY, QH, RJ, ES, HL, CCH), pp. 39–44.
HPCA-2012-KhanWJ: Decoupled dynamic cache segmentation (SMK, ZW, DAJ), pp. 235–246.
DRR-2011-BockholtCM #documentation #image #retrieval: Document image retrieval with morphology-based segmentation and features combination (TCB, GDCC, CABM), pp. 1–10.
DRR-2011-BukhariSB #algorithm #documentation #image #multi #using: Improved document image segmentation algorithm using multiresolution morphology (SSB, FS, TMB), pp. 1–10.
DRR-2011-ChengAST #automation #documentation #image #multimodal #retrieval: Automatic segmentation of subfigure image panels for multimodal biomedical document retrieval (BC, SA, RJS, GRT), pp. 1–10.
DRR-2011-LemaitreCC: A perceptive method for handwritten text segmentation (AL, JC, BC), pp. 1–10.
ICDAR-2011-AhmedWLD #architecture: Text/Graphics Segmentation in Architectural Floor Plans (SA, MW, ML, AD), pp. 734–738.
ICDAR-2011-AlaeiNP #benchmark #dataset #documentation #metric: A Benchmark Kannada Handwritten Document Dataset and Its Segmentation (AA, PN, UP), pp. 141–145.
ICDAR-2011-EraqiA #online #recognition: An On-line Arabic Handwriting Recognition System: Based on a New On-line Graphemes Segmentation Technique (HME, SAA), pp. 409–413.
ICDAR-2011-Fan: Text Segmentation of Consumer Magazines in PDF Format (JF), pp. 794–798.
ICDAR-2011-GaoDL #documentation #multi: A Multi-scale Text Line Segmentation Method in Freestyle Handwritten Documents (YG, XD, CL), pp. 643–647.
ICDAR-2011-GilliamWC #normalisation: Segmentation and Normalisation in Grapheme Codebooks (TG, RCW, JAC), pp. 613–617.
ICDAR-2011-GleichmanOGMBP #alias #detection #image: Detection and Segmentation of Antialiased Text in Screen Images (SG, BO, AG, MM, EB, EP), pp. 424–428.
ICDAR-2011-HerasMSV #architecture: Wall Patch-Based Segmentation in Architectural Floorplans (LPdlH, JM, GS, EV), pp. 1270–1274.
ICDAR-2011-JiangDLW #algorithm #markov #novel #string #using: A Novel Short Merged Off-line Handwritten Chinese Character String Segmentation Algorithm Using Hidden Markov Model (ZJ, XD, CL, YW), pp. 668–672.
ICDAR-2011-KangD #component: Template Based Segmentation of Touching Components in Handwritten Text Lines (LK, DSD), pp. 569–573.
ICDAR-2011-KimO #documentation #image #using: Script-Free Text Line Segmentation Using Interline Space Model for Printed Document Images (MK, ISO), pp. 1354–1358.
ICDAR-2011-KoppulaN #documentation #image: Fringe Map Based Text Line Segmentation of Printed Telugu Document Images (VKK, AN), pp. 1294–1298.
ICDAR-2011-KumarKDA #component: Segmentation of Handwritten Textlines in Presence of Touching Components (JK, LK, DSD, WAA), pp. 109–113.
ICDAR-2011-LiangWS #image: A Method of Evaluating Table Segmentation Results Based on a Table Image Ground Truther (YL, YW, ES), pp. 247–251.
ICDAR-2011-MandalRP #documentation #random #using: Signature Segmentation from Machine Printed Documents Using Conditional Random Field (RM, PPR, UP), pp. 1170–1174.
ICDAR-2011-ManoharVCPN #clustering #graph: Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation (VM, SNPV, HC, RP, PN), pp. 574–578.
ICDAR-2011-PanZSN11a #adaptation #detection #verification: Improving Scene Text Detection by Scale-Adaptive Segmentation and Weighted CRF Verification (YFP, YZ, JS, SN), pp. 759–763.
ICDAR-2011-PhanSST #video: A Gradient Vector Flow-Based Method for Video Character Segmentation (TQP, PS, BS, CLT), pp. 1024–1028.
ICDAR-2011-RenLC #automation #recognition #retrieval: A New Method on the Segmentation and Recognition of Chinese Characters for Automatic Chinese Seal Imprint Retrieval (CR, DL, YC), pp. 972–976.
ICDAR-2011-ShivakumaraBSTP #recognition #video: A New Gradient Based Character Segmentation Method for Video Text Recognition (PS, SB, BS, CLT, UP), pp. 126–130.
ICDAR-2011-SimistiraPSK #word: Enhancing Handwritten Word Segmentation by Employing Local Spatial Features (FS, VP, TS, VK), pp. 1314–1318.
ICDAR-2011-SundaramR #novel #online #word: Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words (SS, AGR), pp. 1175–1179.
ICDAR-2011-WangHL #embedded #novel: A Novel Method for Embedded Text Segmentation Based on Stroke and Color (XW, LH, CL), pp. 151–155.
ICDAR-2011-WangL #realtime #recognition: Dynamic Text Line Segmentation for Real-Time Recognition of Chinese Handwritten Sentences (DHW, CLL), pp. 931–935.
ICDAR-2011-WinderAS #algorithm #documentation: Extending Page Segmentation Algorithms for Mixed-Layout Document Processing (AW, TLA, EHBS), pp. 1245–1249.
ICDAR-2011-YangW #visual notation: Segmentation of Graphical Objects as Maximally Stable Salient Regions (SY, YW), pp. 187–191.
WCRE-2011-WangPV #automation #readability: Automatic Segmentation of Method Code into Meaningful Blocks to Improve Readability (XW, LLP, KVS), pp. 35–44.
DUXU-v1-2011-RitterE #using: An Extensible Tool for the Annotation of Videos Using Segmentation and Tracking (MR, ME), pp. 295–304.
HCI-DDA-2011-HeL #graph #image #modelling: An Image Segmentation Method for Chinese Paintings by Combining Deformable Models with Graph Cuts (NH, KL), pp. 571–579.
ICEIS-v2-2011-CanoCSF #analysis #architecture #integration #multi #process: Multisensory Architecture for Intelligent Surveillance Systems — Integration of Segmentation, Tracking and Activity Analysis (FAC, JCC, JSC, AFC), pp. 157–162.
CIKM-2011-BingLG #detection #towards: Towards a unified solution: data record region detection and segmentation (LB, WL, YG), pp. 1265–1274.
CIKM-2011-LuCAK #clustering #documentation #topic: Legal document clustering with built-in topic segmentation (QL, JGC, KAK, WK), pp. 383–392.
ECIR-2011-SongDDK #approach: An Iterative Approach to Text Segmentation (FS, WMD, AD, FWK), pp. 629–640.
KDIR-2011-WongLZYFXKC #case study: Time Series Segmentation as a Discovery Tool — A Case Study of the US and Japanese Financial Markets (JCW, GHTL, YZ, WSY, RPF, DYX, JLK, SAC), pp. 52–63.
MLDM-2011-LiuXPS #image: Estimating Image Segmentation Difficulty (DL, YX, KP, LGS), pp. 484–495.
SIGIR-2011-LiHZW #information retrieval #query #using: Unsupervised query segmentation using clickthrough for information retrieval (YL, BJPH, CZ, KW), pp. 285–294.
POPL-2011-CousotCL #analysis #array #automation #parametricity #scalability: A parametric segmentation functor for fully automatic and scalable array content analysis (PC, RC, FL), pp. 105–118.
SAC-2011-HuLCHXL #image #using: Image segmentation of cervical vertebra in X-ray radiographs using the curve fitting strategy (HH, HL, LC, CCH, XX, ZL), pp. 853–858.
DRR-2010-SunPD #documentation: Touching character segmentation method for Chinese historical documents (XS, LP, XD), pp. 1–10.
CIKM-2010-JeongT #multi #topic: Multi-document topic segmentation (MJ, IT), pp. 1119–1128.
ICML-2010-LiuLY #rank #representation #robust: Robust Subspace Segmentation by Low-Rank Representation (GL, ZL, YY), pp. 663–670.
ICPR-2010-AkbasA #classification #image #low level: Low-Level Image Segmentation Based Scene Classification (EA, NA), pp. 3623–3626.
ICPR-2010-AkcayAS: Hierarchical Segmentation of Complex Structures (HGA, SA, PS), pp. 1120–1123.
ICPR-2010-AlaeiNP #approach: A Baseline Dependent Approach for Persian Handwritten Character Segmentation (AA, PN, UP), pp. 1977–1980.
ICPR-2010-AndoF #classification #image: Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response (HA, HF), pp. 3444–3447.
ICPR-2010-AnYB #documentation #using: Document Segmentation Using Pixel-Accurate Ground Truth (CA, DY, HSB), pp. 245–248.
ICPR-2010-AslanAFACX #3d #image #random: 3D Vertebrae Segmentation in CT Images with Random Noises (MSA, AMA, AAF, BA, DC, PX), pp. 2290–2293.
ICPR-2010-AslanAFRAX #3d #graph #using: 3D Vertebral Body Segmentation Using Shape Based Graph Cuts (MSA, AMA, AAF, HMR, BA, PX), pp. 3951–3954.
ICPR-2010-AyechKA #adaptation #clustering #image: Image Segmentation Based on Adaptive Fuzzy-C-Means Clustering (MWA, KK, BeA), pp. 2306–2309.
ICPR-2010-BaldacciBD #3d #algorithm #bound #design #framework #graph: Oriented Boundary Graph: A Framework to Design and Implement 3D Segmentation Algorithms (FB, AJPB, JPD), pp. 1116–1119.
ICPR-2010-BanimahdE #distance #image #set #using: Lip Segmentation Using Level Set Method: Fusing Landmark Edge Distance and Image Information (SRB, HE), pp. 2432–2435.
ICPR-2010-BollenbeckS #adaptation: Joint Registration and Segmentation of Histological Volume Data by Diffusion-Based Label Adaption (FB, US), pp. 2440–2443.
ICPR-2010-BoubakerEKAE #modelling #online: Online Arabic Handwriting Modeling System Based on the Graphemes Segmentation (HB, AE, MK, AMA, HE), pp. 2061–2064.
ICPR-2010-BoussellaaZABA #analysis #documentation #image: Unsupervised Block Covering Analysis for Text-Line Segmentation of Arabic Ancient Handwritten Document Images (WB, AZ, HEA, AB, AMA), pp. 1929–1932.
ICPR-2010-CapitaineF10a #clustering #image #on the: On Selecting an Optimal Number of Clusters for Color Image Segmentation (HLC, CF), pp. 3388–3391.
ICPR-2010-CaseiroHB #modelling: Foreground Segmentation via Background Modeling on Riemannian Manifolds (RC, JFH, JB), pp. 3570–3574.
ICPR-2010-ChenZCY #image: Active Contours with Thresholding Value for Image Segmentation (GC, HZ, IC, WY), pp. 2266–2269.
ICPR-2010-ChoPPKKALL #hybrid #using: Level-Set Segmentation of Brain Tumors Using a New Hybrid Speed Function (WC, JP, SYP, SHK, SWK, GA, MEL, GL), pp. 1545–1548.
ICPR-2010-ConduracheMM #classification: An LDA-based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels (AC, FM, AM), pp. 4202–4205.
ICPR-2010-DuB #image: Retinal Image Segmentation Based on Mumford-Shah Model and Gabor Wavelet Filter (XD, TDB), pp. 3384–3387.
ICPR-2010-ElmezainAM #gesture #random #recognition #robust #using: A Robust Method for Hand Gesture Segmentation and Recognition Using Forward Spotting Scheme in Conditional Random Fields (ME, AAH, BM), pp. 3850–3853.
ICPR-2010-FuGJ #image: Patchy Aurora Image Segmentation Based on ALBP and Block Threshold (RF, XG, YJ), pp. 3380–3383.
ICPR-2010-GriniasKT #algorithm #interactive: Flooding and MRF-based Algorithms for Interactive Segmentation (IG, NK, GT), pp. 3943–3946.
ICPR-2010-GueguenSP #composition #difference #image #multi: Differential Morphological Decomposition Segmentation: A Multi-Scale Object Based Image Description (LG, PS, MP), pp. 938–941.
ICPR-2010-IzadiS #automation #detection #image #using: Automatic Building Detection in Aerial Images Using a Hierarchical Feature Based Image Segmentation (MI, PS), pp. 472–475.
ICPR-2010-JoshiSKRK #image: Vessel Bend-Based Cup Segmentation in Retinal Images (GDJ, JS, KK, PR, SRK), pp. 2536–2539.
ICPR-2010-KalafatlarY #3d #using: 3D Articulated Shape Segmentation Using Motion Information (EK, YY), pp. 3595–3598.
ICPR-2010-KaleA #image: Segmentation of Cervical Cell Images (AK, SA), pp. 2399–2402.
ICPR-2010-KhalifaEGOE #image: Shape-Appearance Guided Level-Set Deformable Model for Image Segmentation (FK, AEB, GLG, RO, MAEG), pp. 4581–4584.
ICPR-2010-KimLL #approach #probability: A Unified Probabilistic Approach to Feature Matching and Object Segmentation (THK, KML, SUL), pp. 464–467.
ICPR-2010-KoniuszM #image #on the: On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps (PK, KM), pp. 762–765.
ICPR-2010-KootstraBK #symmetry #using: Using Symmetry to Select Fixation Points for Segmentation (GK, NB, DK), pp. 3894–3897.
ICPR-2010-KurugolODSB #3d #set: Locally Deformable Shape Model to Improve 3D Level Set Based Esophagus Segmentation (SK, NO, JGD, GCS, DHB), pp. 3955–3958.
ICPR-2010-LeskoKNGTVV #graph: Live Cell Segmentation in Fluorescence Microscopy via Graph Cut (ML, ZK, AN, IG, ZT, LVJ, LV), pp. 1485–1488.
ICPR-2010-LombaertC #image: Geodesic Thin Plate Splines for Image Segmentation (HL, FC), pp. 2234–2237.
ICPR-2010-MarsicoNR #identification #named: IS_IS: Iris Segmentation for Identification Systems (MDM, MN, DR), pp. 2857–2860.
ICPR-2010-Martinez-UsoPS #image: A Semi-supervised Gaussian Mixture Model for Image Segmentation (AMU, FP, JMS), pp. 2941–2944.
ICPR-2010-MelendezPG #adaptation #classification #on the: On Adapting Pixel-based Classification to Unsupervised Texture Segmentation (JM, DP, MAG), pp. 854–857.
ICPR-2010-MielochMM #image #quality #re-engineering: Improved Fingerprint Image Segmentation and Reconstruction of Low Quality Areas (KM, AM, PM), pp. 1241–1244.
ICPR-2010-MilitzerHJTH #automation #detection #image: Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images (AM, TH, FJ, CT, JH), pp. 2524–2527.
ICPR-2010-MollerSHP #modelling: Cascaded Segmentation of Grained Cell Tissue with Active Contour Models (BM, NS, SH, SP), pp. 1481–1484.
ICPR-2010-MorenoGP #image #robust: Robust Color Image Segmentation through Tensor Voting (RM, MAG, DP), pp. 3372–3375.
ICPR-2010-NacereddineTZH10a #algorithm #image #modelling #symmetry: Asymmetric Generalized Gaussian Mixture Models and EM Algorithm for Image Segmentation (NN, ST, DZ, LH), pp. 4557–4560.
ICPR-2010-NguyenJA #automation #classification #image: Automated Gland Segmentation and Classification for Gleason Grading of Prostate Tissue Images (KN, AKJ, RLA), pp. 1497–1500.
ICPR-2010-NordbergZ #2d #geometry #image #multi #using: Multibody Motion Segmentation Using the Geometry of 6 Points in 2D Images (KN, VZ), pp. 1783–1787.
ICPR-2010-OkumuraTA #random #recognition: Generic Object Recognition by Tree Conditional Random Field Based on Hierarchical Segmentation (TO, TT, YA), pp. 3025–3028.
ICPR-2010-OliverTLM #automation #set #using: Automatic Diagnosis of Masses by Using Level set Segmentation and Shape Description (AO, AT, XL, JM), pp. 2528–2531.
ICPR-2010-Panagiotakis #modelling #principle: Simultaneous Segmentation and Modelling of Signals Based on an Equipartition Principle (CP), pp. 85–88.
ICPR-2010-PassinoPI #image #semantics: Pyramidal Model for Image Semantic Segmentation (GP, IP, EI), pp. 1554–1557.
ICPR-2010-PengYZC #classification #using: Retinal Blood Vessels Segmentation Using the Radial Projection and Supervised Classification (QP, XY, LZ, YmC), pp. 1489–1492.
ICPR-2010-PerinaCM #named #recognition: 2LDA: Segmentation for Recognition (AP, MC, VM), pp. 995–998.
ICPR-2010-PhamTN #bound #similarity #using: Bounding-Box Based Segmentation with Single Min-cut Using Distant Pixel Similarity (VQP, KT, TN), pp. 4420–4423.
ICPR-2010-PriceMC #image #modelling #video: Color Adjacency Modeling for Improved Image and Video Segmentation (BLP, BSM, SC), pp. 2390–2394.
ICPR-2010-ReddySL #adaptation #modelling #robust: Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling (VR, CS, BCL), pp. 3939–3942.
ICPR-2010-Rivest-HenaultCDL: Length Increasing Active Contour for the Segmentation of Small Blood Vessels (DRH, MC, SD, CL), pp. 2796–2799.
ICPR-2010-RoySB #game studies #image #using: Segmentation of Unideal Iris Images Using Game Theory (KR, CYS, PB), pp. 2844–2847.
ICPR-2010-SeoAD #classification #evaluation #performance #tool support: Performance Evaluation Tools for Zone Segmentation and Classification (PETS) (WS, MA, DSD), pp. 503–506.
ICPR-2010-SoldeaESU #approach #image #using: Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL — A Quantitative Approach (OS, AE, DFS, DU, MÇ, AE, MGU, ZF, MC), pp. 2592–2595.
ICPR-2010-TosunSD #image #object-oriented: Unsupervised Tissue Image Segmentation through Object-Oriented Texture (ABT, CS, CGD), pp. 2516–2519.
ICPR-2010-UbukataTMU #multi #using: Multi-object Segmentation in a Projection Plane Using Subtraction Stereo (TU, KT, AM, KU), pp. 3296–3299.
ICPR-2010-UlgesB #question #recognition: Can Motion Segmentation Improve Patch-Based Object Recognition? (AU, TMB), pp. 3041–3044.
ICPR-2010-WuGZ #multi #recognition: Theme-Based Multi-class Object Recognition and Segmentation (SW, JG, FZ), pp. 3013–3016.
ICPR-2010-Xie #set #using: Level Set Based Segmentation Using Local Feature Distribution (XX), pp. 2780–2783.
ICPR-2010-XieM: Initialisation-Free Active Contour Segmentation (XX, MM), pp. 2318–2321.
ICPR-2010-XuCM: An Improved Fluid Vector Flow for Cavity Segmentation in Chest Radiographs (TX, IC, MKM), pp. 3376–3379.
ICPR-2010-ZachariaKMK #2d #approach #image: A Spot Segmentation Approach for 2D Gel Electrophoresis Images Based on 2D Histograms (EZ, EK, DM, SK), pp. 2540–2543.
ICPR-2010-ZhangXLWH: Slap Fingerprint Segmentation for Live-Scan Devices and Ten-Print Cards (YLZ, GX, YML, HTW, YPH), pp. 1180–1183.
RecSys-2010-Gutschmidt #approach #online: An approach to situational market segmentation on on-line newspapers based on current tasks (AG), pp. 321–324.
SIGIR-2010-HagenPSB #power of #query: The power of naive query segmentation (MH, MP, BS, CB), pp. 797–798.
SIGIR-2010-WangMHC #effectiveness #multi #retrieval #towards: Segmentation of multi-sentence questions: towards effective question retrieval in cQA services (KW, ZM, XH, TSC), pp. 387–394.
SAC-2010-Kavallieratou #detection: Text line detection and segmentation: uneven skew angles and hill-and-dale writing (EK), pp. 59–60.
DRR-2009-HalimaA #concept #recognition #using: Simultaneous segmentation and recognition of Arabic printed text using linguistic concepts of vocabulary (MBH, AMA), pp. 1–10.
DRR-2009-MeilenderB #algorithm #documentation: Segmentation of continuous document flow by a modified backward-forward algorithm (TM, AB), pp. 1–10.
DRR-2009-ZhangLDW #documentation #image: Restoring warped document image through segmentation and full-page interpolation (YZ, CL, XD, KW), pp. 1–10.
ICDAR-2009-AgrawalD09a #approach: Voronoi++: A Dynamic Page Segmentation Approach Based on Voronoi and Docstrum Features (MA, DSD), pp. 1011–1015.
ICDAR-2009-AntonacopoulosPBP #contest: ICDAR 2009 Page Segmentation Competition (AA, SP, DB, CP), pp. 1370–1374.
ICDAR-2009-BenjelilKMA09a #documentation #image: Steerable Pyramid Based Complex Documents Images Segmentation (MB, SK, RM, AMA), pp. 833–837.
ICDAR-2009-BukhariSB #documentation #image: Coupled Snakelet Model for Curled Textline Segmentation of Camera-Captured Document Images (SSB, FS, TMB), pp. 61–65.
ICDAR-2009-BukhariSB09a #independence #using: Script-Independent Handwritten Textlines Segmentation Using Active Contours (SSB, FS, TMB), pp. 446–450.
ICDAR-2009-ClavelliK: Text Segmentation in Colour Posters from the Spanish Civil War Era (AC, DK), pp. 181–185.
ICDAR-2009-DaifallahZJ #algorithm #online: Recognition-Based Segmentation Algorithm for On-Line Arabic Handwriting (KD, NZ, HJ), pp. 886–890.
ICDAR-2009-GatosSL #contest: ICDAR 2009 Handwriting Segmentation Contest (BG, NS, GL), pp. 1393–1397.
ICDAR-2009-LettnerS #documentation #image #multi: Spatial and Spectral Based Segmentation of Text in Multispectral Images of Ancient Documents (ML, RS), pp. 813–817.
ICDAR-2009-LouloudisSG #evaluation #novel #word: A Novel Two Stage Evaluation Methodology for Word Segmentation Techniques (GL, NS, BG), pp. 686–690.
ICDAR-2009-MoghaddamRC #approach #classification #independence #multi #set #using: Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifiers (RFM, DRH, MC), pp. 828–832.
ICDAR-2009-MoghaddamRYC #approach #documentation #framework #image #set: A Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering from Bleed-Through (RFM, DRH, IBY, MC), pp. 441–445.
ICDAR-2009-NicolaouG: Handwritten Text Line Segmentation by Shredding Text into its Lines (AN, BG), pp. 626–630.
ICDAR-2009-RoyPLD #multi #programming #using: Multi-Oriented and Multi-Sized Touching Character Segmentation Using Dynamic Programming (PPR, UP, JL, MD), pp. 11–15.
ICDAR-2009-SantosCTC: Text Line Segmentation Based on Morphology and Histogram Projection (RPdS, GSC, IRT, GDCC), pp. 651–655.
ICDAR-2009-WangLJ #learning #modelling #statistics #string: Statistical Modeling and Learning for Recognition-Based Handwritten Numeral String Segmentation (YW, XL, YJ), pp. 421–425.
ICDAR-2009-WshahSG: Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation (SW, ZS, VG), pp. 793–797.
ICDAR-2009-YinL: A Variational Bayes Method for Handwritten Text Line Segmentation (FY, CLL), pp. 436–440.
ICDAR-2009-YosefHKD #documentation: Line Segmentation for Degraded Handwritten Historical Documents (IBY, NH, KK, ID), pp. 1161–1165.
LATA-2009-LopatkovaH: Segmentation Charts for Czech — Relations among Segments in Complex Sentences (ML, TH), pp. 542–553.
CHI-2009-ForlinesB #image #visual notation: Improving visual search with image segmentation (CF, RB), pp. 1093–1102.
HIMI-II-2009-BaeKB #interactive #sequence #video: Interactive Object Segmentation System from a Video Sequence (GB, SYK, HB), pp. 221–228.
CIKM-2009-KhareA #empirical #interface #markov #using: An empirical study on using hidden markov model for search interface segmentation (RK, YA), pp. 17–26.
CIKM-2009-MisraYJC #modelling #topic: Text segmentation via topic modeling: an analytical study (HM, FY, JMJ, OC), pp. 1553–1556.
ECIR-2009-GoyalPHJ: Split and Merge Based Story Segmentation in News Videos (AG, PP, FH, JMJ), pp. 766–770.
ICML-2009-PlathTN #classification #image #multi #random #using: Multi-class image segmentation using conditional random fields and global classification (NP, MT, SN), pp. 817–824.
SIGIR-2009-BenderskyCS #information retrieval #query: Two-stage query segmentation for information retrieval (MB, WBC, DAS), pp. 810–811.
SIGIR-2009-GuoA #interactive #predict: Beyond session segmentation: predicting changes in search intent with client-side user interactions (QG, EA), pp. 636–637.
SAC-2009-OlowoyeyeTF #using: Medical volume segmentation using bank of Gabor filters (AO, MT, SF), pp. 826–829.
SAC-2009-ParkYAMP #algorithm #approach #detection #novel #search-based #using: A novel approach to detect copy number variation using segmentation and genetic algorithm (CP, YY, JA, MM, SP), pp. 788–792.
CASE-2009-Makkapati #using: Improved wavelet-based microscope autofocusing for blood smears by using segmentation (VM), pp. 208–211.
CASE-2009-MakkapatiAA #classification #image: Segmentation and classification of tuberculosis bacilli from ZN-stained sputum smear images (VM, RA, RA), pp. 217–220.
DocEng-2008-MelloRL: Segmentation of overlapping cursive handwritten digits (CABM, ER, EBL), pp. 271–274.
DRR-2008-HuangS #documentation #word: Word segmentation of off-line handwritten documents (CH, SNS), p. 68150.
DRR-2008-KuzhinjedathuSS #documentation #robust: Robust line segmentation for handwritten documents (KK, HS, SNS), p. 68150.
MSR-2008-SiyCS #challenge #developer #using: Summarizing developer work history using time series segmentation: challenge report (HPS, PC, MS), pp. 137–140.
LATA-2008-PhuongHRV #approach #hybrid #word: A Hybrid Approach to Word Segmentation of Vietnamese Texts (HPL, NTMH, AR, HTV), pp. 240–249.
CIKM-2008-JonesK #automation #query #topic: Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs (RJ, KLK), pp. 699–708.
CIKM-2008-KohlschutterN #approach #web: A densitometric approach to web page segmentation (CK, WN), pp. 1173–1182.
ICPR-2008-AlliliZ #approach #bound: An approach for dynamic combination of region and boundary information in segmentation (MSA, DZ), pp. 1–4.
ICPR-2008-AzyA: Segmentation of periodically moving objects (OA, NA), pp. 1–4.
ICPR-2008-Baradarani #using: Moving object segmentation using the 9/7-10/8 dual-tree complex filter bank (AB), pp. 1–4.
ICPR-2008-ChenS #constraints #image: Medical image segmentation via min s-t cuts with sides constraints (JHC, LGS), pp. 1–4.
ICPR-2008-ChenZP #using: Unsupervised dynamic texture segmentation using local spatiotemporal descriptors (JC, GZ, MP), pp. 1–4.
ICPR-2008-CloppetB #biology #image: Segmentation of overlapping/aggregating nuclei cells in biological images (FC, AB), pp. 1–4.
ICPR-2008-CohenFH: Joint segmentation and registration of elastically deformable objects (GC, JMF, RH), pp. 1–5.
ICPR-2008-DonoserB #matrix #using: Using covariance matrices for unsupervised texture segmentation (MD, HB), pp. 1–4.
ICPR-2008-FilipH #performance #sequence #video: Fast and reliablePCA-based temporal segmentation of video sequences (JF, MH), pp. 1–4.
ICPR-2008-FraileHC: Motion segmentation by consensus (RF, DCH, AGC), pp. 1–4.
ICPR-2008-FuCLL #approach #automation: Saliency Cuts: An automatic approach to object segmentation (YF, JC, ZL, HL), pp. 1–4.
ICPR-2008-FundanaHGS #graph: Continuous graph cuts for prior-based object segmentation (KF, AH, CG, CS), pp. 1–4.
ICPR-2008-FuR08a #approach #image #performance: A fast hierarchical approach to image segmentation (ZF, ARK), pp. 1–4.
ICPR-2008-GongC #graph #learning #online #optimisation #realtime #using: Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization (MG, LC), pp. 1–4.
ICPR-2008-HaindlM: Unsupervised mammograms segmentation (MH, SM), pp. 1–4.
ICPR-2008-HaindlM08a #benchmark #metric: Texture segmentation benchmark (MH, SM), pp. 1–4.
ICPR-2008-HanburyS #evaluation #metric #on the: On segmentation evaluation metrics and region counts (AH, JS), pp. 1–4.
ICPR-2008-HanssonOH #image: Rayleigh segmentation of the endocardium in ultrasound images (MH, NCO, AH), pp. 1–4.
ICPR-2008-KangKNN #image #multi #recognition #using: Multiband image segmentation and object recognition using texture filter banks (YK, KK, TN, YN), pp. 1–4.
ICPR-2008-KaratzasRAF #robust: Segmentation robust to the vignette effect for machine vision systems (DK, MR, JA, MF), pp. 1–4.
ICPR-2008-LathenJB #set: Phase based level set segmentation of blood vessels (GL, JJ, MB), pp. 1–4.
ICPR-2008-LecellierFJRA: Region-based active contours and sparse representations for texture segmentation (FL, JF, SJB, MR, GA), pp. 1–4.
ICPR-2008-LiL #incremental: An incremental method for accurate iris segmentation (PL, XL), pp. 1–4.
ICPR-2008-LiLCL #approach #image: A variational inference based approach for image segmentation (ZL, QL, JC, HL), pp. 1–4.
ICPR-2008-LuJZ #detection #effectiveness: An effective method for detection and segmentation of the body of human in the view of a single stationary camera (HL, CJ, RZ), pp. 1–4.
ICPR-2008-MakiharaY: Silhouette extraction based on iterative spatio-temporal local color transformation and graph-cut segmentation (YM, YY), pp. 1–4.
ICPR-2008-MonteiroC #framework #image: Watershed framework to region-based image segmentation (FJCM, ACC), pp. 1–4.
ICPR-2008-MooreSLD #image #top-down #using: Top down image segmentation using congealing and graph-cut (DM, JS, SL, BAD), pp. 1–4.
ICPR-2008-RiveraCT #image #polynomial #programming: Image segmentation by convex quadratic programming (MR, ODC, JT), pp. 1–5.
ICPR-2008-RysavyFEO #classification #random: Classifiability criteria for refining of random walks segmentation (SR, AF, RE, KO), pp. 1–4.
ICPR-2008-ShawPS #approach #recognition #word: Offline handwritten Devanagari word recognition: A segmentation based approach (BS, SKP, MS), pp. 1–4.
ICPR-2008-SugaFTA #graph #recognition #using: Object recognition and segmentation using SIFT and Graph Cuts (AS, KF, TT, YA), pp. 1–4.
ICPR-2008-TangG #constraints #graph #video: Video object segmentation based on graph cut with dynamic shape prior constraint (PT, LG), pp. 1–4.
ICPR-2008-TanY #clustering #image #towards: Image segmentation towards natural clusters (ZT, NHCY), pp. 1–4.
ICPR-2008-UlgesB #parametricity: Segmentation by combining parametric optical flow with a color model (AU, TMB), pp. 1–4.
ICPR-2008-Vega-PonsRV #algorithm #set #using: Active contour algorithm for texture segmentation using a texture feature set (SVP, JLGR, OLV), pp. 1–4.
ICPR-2008-WanYM #algorithm: A new algorithm for static camera foreground segmentation via active coutours and GMM (CW, BY, ZM), pp. 1–4.
ICPR-2008-WuBB #automation #video: Automatic bi-layer video segmentation based on sensor fusion (QW, PB, WFB), pp. 1–4.
ICPR-2008-WuWZ08a #video: Monocular video foreground segmentation system (XW, YW, XZ), pp. 1–4.
ICPR-2008-ZhangLDZ #documentation #image: Arbitrary warped document image restoration based on segmentation and Thin-Plate Splines (YZ, CL, XD, YZ), pp. 1–4.
SAC-2008-SchiabelSA #detection #image: Segmentation technique for detecting suspect masses in dense breast digitized images as a tool for mammography CAD schemes (HS, VTS, MFA), pp. 1333–1337.
SAC-2008-SilvaDSSM #analysis #automation #component: Automated segmentation and volumetric analysis of brain components on MR imaging (MPS, JRD, FLS, ASdS, DCMS), pp. 1422–1423.
DRR-2007-ArivazhaganSS #approach #documentation #statistics: A statistical approach to line segmentation in handwritten documents (MA, HS, SNS).
DRR-2007-ShettySBS #documentation #random #using: Segmentation and labeling of documents using conditional random fields (SS, HS, MJB, SNS).
ICDAR-2007-AntonacopoulosGB #contest: Page Segmentation Competition (AA, BG, DB), pp. 1279–1283.
ICDAR-2007-CaoPNM #bottom-up #fault #robust #top-down: Robust Page Segmentation Based on Smearing and Error Correction Unifying Top-down and Bottom-up Approaches (HC, RP, PN, EM), pp. 392–396.
ICDAR-2007-ChangTO #image #physics: Physical Structure Segmentation with Projection Profile for Mathematic Formulae and Graphics in Academic Paper Images (TYC, YT, MO), pp. 1193–1197.
ICDAR-2007-ChowdhuryMDC #documentation #image: Segmentation of Text and Graphics from Document Images (SPC, SM, AKD, BC), pp. 619–623.
ICDAR-2007-DriraLE #approach #documentation #image: A Coupled Mean Shift-Anisotropic Diffusion Approach for Document Image Segmentation and Restoration (FD, FL, HE), pp. 814–818.
ICDAR-2007-FerrerV #evaluation #performance: Combination of OCR Engines for Page Segmentation Based on Performance Evaluation (MF, EV), pp. 784–788.
ICDAR-2007-Furmaniak #using: Unsupervised Newspaper Segmentation Using Language Context (RF), pp. 1263–1267.
ICDAR-2007-GatosAS #contest: Handwriting Segmentation Contest (BG, AA, NS), pp. 1284–1288.
ICDAR-2007-GatosPN #documentation #image: Segmentation Based Recovery of Arbitrarily Warped Document Images (BG, IP, KN), pp. 989–993.
ICDAR-2007-GuH #adaptation #documentation: Adaptive Window Based Uneven Lighting Document Segmentation (GG, WH), pp. 223–226.
ICDAR-2007-KumarKJ #documentation #on the: On Segmentation of Documents in Complex Scripts (KSSK, SK, CVJ), pp. 1243–1247.
ICDAR-2007-LuthyVB #markov #modelling #using: Using Hidden Markov Models as a Tool for Handwritten Text Line Segmentation (FL, TV, HB), p. 8–?.
ICDAR-2007-MakridisNG #documentation #performance #word: An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents (MM, NAN, BG), pp. 178–182.
ICDAR-2007-NicolasDPH #2d #documentation #image #random #using: Document Image Segmentation Using a 2D Conditional Random Field Model (SN, JD, TP, LH), pp. 407–411.
ICDAR-2007-PanBS #using: Text Segmentation from Complex Background Using Sparse Representations (WP, TDB, CYS), pp. 412–416.
ICDAR-2007-ShiLS #framework #recognition: A Unified Framework for Symbol Segmentation and Recognition of Handwritten Mathematical Expressions (YS, HL, FKS), pp. 854–858.
ICDAR-2007-ToujAA #using: Two Approaches for Arabic Script Recognition-Based Segmentation Using the Hough Transform (ST, NEBA, HA), pp. 654–658.
ICDAR-2007-WachenfeldFKJ: Segmentation of Very Low Resolution Screen-Rendered Text (SW, SF, HUK, XJ), pp. 1153–1157.
ICDAR-2007-XiaXWD #documentation #recognition: Integrated Segmentation and Recognition of Mixed Chinese/English Document (YX, BX, CHW, RD), pp. 704–708.
ICDAR-2007-XiCLWSJ07a #clustering: Character Line Segmentation Based on Feature Clustering (YX, YC, QL, LW, FS, DJ), pp. 402–406.
ICDAR-2007-ZahourLBT #documentation: Text Line Segmentation of Historical Arabic Documents (AZ, LLS, WB, BT), pp. 138–142.
ICSM-2007-SiyCRS #developer #version control: Discovering Dynamic Developer Relationships from Software Version Histories by Time Series Segmentation (HPS, PC, DJR, MS), pp. 415–424.
HCI-AS-2007-Song #analysis #complexity #visual notation #web: Analysis of Web Page Complexity Through Visual Segmentation (GS), pp. 114–123.
HCI-MIE-2007-DongLH #complexity #user interface: Effect of Glance Duration on Perceived Complexity and Segmentation of User Interfaces (YD, CL, LH), pp. 605–614.
HCI-MIE-2007-HanKYJ #mobile #recursion: Frame Segmentation Used MLP-Based X-Y Recursive for Mobile Cartoon Content (EH, KK, HY, KJ), pp. 872–881.
HCI-MIE-2007-Kwon: Speaker Segmentation for Intelligent Responsive Space (SK), pp. 385–392.
CIKM-2007-Park #automation: Automatic call section segmentation for contact-center calls (YP), pp. 117–126.
ECIR-2007-Shokouhi07a #effectiveness: Segmentation of Search Engine Results for Effective Data-Fusion (MS), pp. 185–197.
KDD-2007-Aggarwal #classification #data type #framework: A framework for classification and segmentation of massive audio data streams (CCA), pp. 1013–1017.
SIGIR-2007-ChibaneD #algorithm #layout #topic #visual notation #web: A web page topic segmentation algorithm based on visual criteria and content layout (IC, BLD), pp. 817–818.
SIGIR-2007-FranzMX #evaluation: User-oriented text segmentation evaluation measure (MF, JSM, JMX), pp. 701–702.
SIGIR-2007-FranzX #multi #using: Story segmentation of broadcast news in Arabic, Chinese and English using multi-window features (MF, JMX), pp. 703–704.
SIGIR-2007-SitbonB #topic #using: Topic segmentation using weighted lexical links (WLL) (LS, PB), pp. 737–738.
SIGIR-2007-SunMGYZ #detection #documentation #multi #topic: Topic segmentation with shared topic detection and alignment of multiple documents (BS, PM, CLG, JY, HZ), pp. 199–206.
SAC-2007-LamprierALS #clustering #named: ClassStruggle: a clustering based text segmentation (SL, TA, BL, FS), pp. 600–604.
SAC-2007-MilsztajnG #3d #algorithm #markov #random #search-based #using: Three-dimensional segmentation of brain tissues using Markov random fields and genetic algorithms (FM, KdG), pp. 745–746.
DRR-2006-Vega-RiverosS #automation #comprehension #design #documentation: Graphic design principles for automated document segmentation and understanding (JFVR, HJSV).
HT-2006-QiC #analysis #development #named: CUTS: CUrvature-based development pattern analysis and segmentation for blogs and other Text Streams (YQ, KSC), pp. 1–10.
JCDL-2006-ZouLT #analysis #geometry #layout #online: Combining DOM tree and geometric layout analysis for online medical journal article segmentation (JZ, DXL, GRT), pp. 119–128.
CIKM-2006-SunZZY #multi: Multi-task text segmentation and alignment based on weighted mutual information (BS, DZ, HZ, JY), pp. 846–847.
ICML-2006-Sarawagi #modelling #performance #sequence: Efficient inference on sequence segmentation models (SS), pp. 793–800.
ICPR-v1-2006-AwadHS #recognition: A Unified System for Segmentation and Tracking of Face and Hands in Sign Language Recognition (GA, JH, AS), pp. 239–242.
ICPR-v1-2006-BriassouliA #estimation #fault #fourier: Spatial and Fourier Error Minimization for Motion Estimation and Segmentation (AB, NA), pp. 94–97.
ICPR-v1-2006-CaparG #concurrent #performance #recognition: Concurrent Segmentation and Recognition with Shape-Driven Fast Marching Methods (AÇ, MG), pp. 155–158.
ICPR-v1-2006-ChenCLT #algorithm #automation #graph #image #using: Automatic Segmentation of Lung Fields from Radiographic Images of SARS Patients Using a New Graph Cuts Algorithm (SC, LC, JL, XT), pp. 271–274.
ICPR-v1-2006-ChenHHH #using: Segmentation of Human Body Parts Using Deformable Triangulation (CCC, JWH, YTH, CYH), pp. 355–358.
ICPR-v1-2006-ConduracheA #2d #classification #image #linear #using: Vessel Segmentation in 2D-Projection Images Using a Supervised Linear Hysteresis Classifier (AC, TA), pp. 343–346.
ICPR-v1-2006-DongWH #gesture #sequence #similarity #using #video: Gesture Segmentation from a Video Sequence Using Greedy Similarity Measure (QD, YW, ZH), pp. 331–334.
ICPR-v1-2006-DonoserB #3d: 3D Segmentation by Maximally Stable Volumes (MSVs) (MD, HB), pp. 63–66.
ICPR-v1-2006-FaggianPC #recognition #using #video: Face Recognition From Video using Active Appearance Model Segmentation (NF, APP, TJC), pp. 287–290.
ICPR-v1-2006-FrippWCO #3d #automation #modelling #using: Automatic Segmentation of the Knee Bones using 3D Active Shape Models (JF, SKW, SC, SO), pp. 167–170.
ICPR-v1-2006-HansenLEC: Coupled Shape Model Segmentation in Pig Carcasses (MFH, RL, BKE, LBC), pp. 468–471.
ICPR-v1-2006-HanXG #clustering #video: Video Foreground Segmentation Based on Sequential Feature Clustering (MH, WX, YG), pp. 492–496.
ICPR-v1-2006-KaufholdCHR #classification #recognition #using: Recognition and Segmentation of Scene Content using Region-Based Classification (JPK, RC, AH, PR), pp. 755–760.
ICPR-v1-2006-KoTSH #image #learning: A New Image Segmentation Method for Removing Background of Object Movies by Learning Shape Priors (CHK, YPT, ZCS, YPH), pp. 323–326.
ICPR-v1-2006-ShafaitKB #documentation #evaluation #image #representation: Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images (FS, DK, TMB), pp. 872–875.
ICPR-v1-2006-SongK #cumulative #gesture #recognition: Simultaneous Gesture Segmentation and Recognition based on Forward Spotting Accumulative HMMs (JS, DK), pp. 1231–1235.
ICPR-v1-2006-TangLFG #automation #image: Automatic Segmentation of the Papilla in a Fundus Image Based on the C-V Model and a Shape Restraint (YT, XL, AvF, GG), pp. 183–186.
ICPR-v1-2006-WeiB #data analysis #statistics #using: Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis (HW, MB), pp. 667–670.
ICPR-v1-2006-WuMLC: A New Method of Object Segmentation in the Basketball Videos (LW, XM, XL, SC), pp. 319–322.
ICPR-v1-2006-ZengL #markov #random #using: Stroke Segmentation of Chinese Characters Using Markov Random Fields (JZ, ZQL), pp. 868–871.
ICPR-v1-2006-ZhangSL #multi #using: Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence (JZ, FS, YL), pp. 599–602.
ICPR-v2-2006-AhnKB #estimation #graph #robust #using: Robust Object Segmentation Using Graph Cut with Object and Background Seed Estimation (JHA, KCK, HB), pp. 361–364.
ICPR-v2-2006-ChenH #bound #composition #image: Boundary correction for total variation regularized L^1 function with applications to image decomposition and segmentation (TC, TSH), pp. 316–319.
ICPR-v2-2006-ChenW #analysis #component #independence #using: Texture Segmentation Using Independent Component Analysis of Gabor Features (YC, RW), pp. 147–150.
ICPR-v2-2006-ClimentS #visual notation: Visually Significant Dynamics for Watershed Segmentation (JC, AS), pp. 341–344.
ICPR-v2-2006-FuDLJR #algorithm #novel #recognition #string: A Novel Segmentation and Recognition Algorithm for Chinese Handwritten Address Character Strings (QF, XQD, TL, YJ, ZR), pp. 974–977.
ICPR-v2-2006-HaindlM #approach #modelling #multi #using: Unsupervised Texture Segmentation Using Multispectral Modelling Approach (MH, SM), pp. 203–206.
ICPR-v2-2006-HaxhimusaIK #graph: Evaluating Hierarchical Graph-based Segmentation (YH, AI, WGK), pp. 195–198.
ICPR-v2-2006-HeLL #bias #robust: Robust Partial Volume Segmentation with Bias Field Correction in Brain MRI (HH, BL, KL), pp. 175–178.
ICPR-v2-2006-KimYL #estimation #image #interactive #modelling #parametricity #random #using: New MRF Parameter Estimation Technique for Texture Image Segmentation using Hierarchical GMRF Model Based on Random Spatial Interaction and Mean Field Theory (DHK, IDY, SUL), pp. 365–368.
ICPR-v2-2006-LiZ #image: Image Segmentation Based on Inscribed circle (ZL, JZ), pp. 247–250.
ICPR-v2-2006-PanBD #bottom-up #contest #functional #image #using: Bottom-Up Hierarchical Image Segmentation Using Region Competition and the Mumford-Shah Functional (YP, JDB, SMD), pp. 117–121.
ICPR-v2-2006-Rosenberger #adaptation #evaluation #image: Adaptative evaluation of image segmentation results (CR), pp. 399–402.
ICPR-v2-2006-SavelonasIM #algorithm: An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation (MAS, DKI, DEM), pp. 279–282.
ICPR-v2-2006-ScarpaH #clustering #independence: Unsupervised Texture Segmentation by Spectral-Spatial-Independent Clustering (GS, MH), pp. 151–154.
ICPR-v2-2006-SharmaL #algorithm #word: An Iterative Algorithm for Segmentation of Isolated Handwritten Words in Gurmukhi Script (DVS, GSL), pp. 1022–1025.
ICPR-v2-2006-SolemOH: Initialization Techniques for Segmentation with the Chan-Vese Model (JES, NCO, AH), pp. 171–174.
ICPR-v2-2006-SundaresanC #modelling #probability: Segmentation and Probabilistic Registration of Articulated Body Models (AS, RC), pp. 92–96.
ICPR-v2-2006-VajariaISSK #locality: Audio Segmentation and Speaker Localization in Meeting Videos (HV, TI, SS, RS, RK), pp. 1150–1153.
ICPR-v2-2006-VanhamelSP #graph #image #multi: Nonlinear Multiscale Graph Theory based Segmentation of Color Images (IV, HS, IP), pp. 407–411.
ICPR-v2-2006-YuC #image #semantics #using: Joint Image Segmentation and Interpretation Using Iterative Semantic Region Growing on SAR Sea Ice Imagery (QY, DAC), pp. 223–226.
ICPR-v2-2006-ZhangWPJ #framework #image: An Image Segmentation Framework Based on Patch Segmentation Fusion (LZ, XW, NP, QJ), pp. 187–190.
ICPR-v2-2006-ZhanWG #approach #image #robust: A Robust Split-and-Merge Text Segmentation Approach for Images (YZ, WW, WG), pp. 1002–1005.
ICPR-v3-2006-ChoiAB #using: Face Alignment Using Segmentation and a Combined AAM in a PTZ Camera (KC, JHA, HB), pp. 1191–1194.
ICPR-v3-2006-DupontJK #robust #sequence #video: Robust Segmentation of Hidden Layers in Video Sequences (RD, OJ, RK), pp. 75–78.
ICPR-v3-2006-El-BazFGFEE #automation #framework: A Framework for Automatic Segmentation of Lung Nodules from Low Dose Chest CT Scans (AEB, AAF, GLG, RF, MAEG, TE), pp. 611–614.
ICPR-v3-2006-IakovidisSKM #image: Segmentation of Medical Images with Regional Inhomogeneities (DKI, MAS, SAK, DEM), pp. 976–979.
ICPR-v3-2006-NgOFGN #automation #image #information management #using: Automatic Segmentation of Muscles of Mastication from Magnetic Resonance Images Using Prior Knowledge (HPN, SHO, KWCF, PSG, WLN), pp. 968–971.
ICPR-v3-2006-NicolasPH #approach #documentation #markov: A Markovian Approach for Handwritten Document Segmentation (SN, TP, LH), pp. 292–295.
ICPR-v3-2006-PetterssonKB #automation #using: Automatic Hip Bone Segmentation Using Non-Rigid Registration (JP, HK, MB), pp. 946–949.
ICPR-v4-2006-AroraA #analysis #image #multi: Analysis of Ramp Discontinuity Model for Multiscale Image Segmentation (HA, NA), pp. 99–103.
ICPR-v4-2006-BretarDR #3d #framework #image #recognition: Recognition of Building Roof Facets by Merging Aerial Images and 3D Lidar Data in a Hierarchical Segmentation Framework (FB, MPD, MR), pp. 5–8.
ICPR-v4-2006-CristaniCM #3d #adaptation #estimation #integration: Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation (MC, UC, VM), pp. 21–24.
ICPR-v4-2006-DhandraHHM #analysis #image #using: Analysis of Abnormality in Endoscopic images using Combined HSI Color Space and Watershed Segmentation (BVD, RH, MH, VSM), pp. 695–698.
ICPR-v4-2006-DuB #image: A New Hierarchical Image Segmentation Method (XD, TDB), pp. 108–112.
ICPR-v4-2006-FengI #3d #statistics: A Statistical Assembled Model for Segmentation of Entire 3D Vasculature (JJF, HHSI), pp. 95–98.
ICPR-v4-2006-FusseneggerOP #locality #using: Object localization/segmentation using generic shape priors (MF, AO, AP), pp. 41–44.
ICPR-v4-2006-HaindlZ #image #multimodal: Multimodal Range Image Segmentation by Curve Grouping (MH, PZ), pp. 9–12.
ICPR-v4-2006-KoN #automation #image: Automatic Object-of-Interest segmentation from natural images (BK, JYN), pp. 45–48.
ICPR-v4-2006-LiuH #automation #predict #speech: A Bayesian Predictive Method for Automatic Speech Segmentation (ML, TSH), pp. 290–293.
ICPR-v4-2006-LiZZB #analysis #approach #automation #multi #using: A New Approach to Automated Retinal Vessel Segmentation Using Multiscale Analysis (QL, LZ, DZ, PB), pp. 77–80.
ICPR-v4-2006-MacenkoCM #detection #using: Lesion Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering (MM, MC, LM), pp. 679–682.
ICPR-v4-2006-SaadS #approach #composition #image: Shape Decomposition Approach for Ultrasound Color Doppler Image Segmentation (AAS, LGS), pp. 691–694.
ICPR-v4-2006-ShenC: Finding Text in Natural Scenes by Figure-Ground Segmentation (HS, JMC), pp. 113–118.
ICPR-v4-2006-SunYMW #energy: Better Foreground Segmentation for Static Cameras via New Energy Form and Dynamic Graph-cut (YS, BY, ZM, CW), pp. 49–52.
ICPR-v4-2006-TodorovicA #3d #classification #using: 3D Texture Classification Using the Belief Net of a Segmentation Tree (ST, NA), pp. 33–36.
ICPR-v4-2006-WangJ #image: Segmentation of the Left Ventricle from Cardiac MR Images Based on Degenerated Minimal Surface Diffusion and Shape Priors (YW, YJ), pp. 671–674.
ICPR-v4-2006-XuZM #automation: Automatic Iris Segmentation Based on Local Areas (GX, ZZ, YM), pp. 505–508.
ICPR-v4-2006-YuC06a #statistics #using: Filament Preserving Segmentation for SAR Sea Ice Imagery Using a New Statistical Model (QY, DAC), pp. 849–852.
ICPR-v4-2006-ZaimQSIT #clustering #image #robust #using: A Robust and Accurate Segmentation of Iris Images Using Optimal Partitioning (AZ, MKQ, JS, JI, RT), pp. 578–581.
ICPR-v4-2006-ZhangZX: A Two-level Method for Unsupervised Speaker-based Audio Segmentation (SZ, SZ, BX), pp. 298–301.
ICPR-v4-2006-ZiokoMW #speech: Phoneme segmentation of speech (BZ, SM, RCW), pp. 282–285.
KDD-2006-AnagnostopoulosVHKY: Global distance-based segmentation of trajectories (AA, MV, MH, EJK, PSY), pp. 34–43.
KDD-2006-KumarPT #topic: Hierarchical topic segmentation of websites (RK, KP, AT), pp. 257–266.
SIGIR-2006-ChaseA: Stylistic text segmentation (PJC, SA), pp. 633–634.
SAC-2006-ArastehHS #adaptation #image: Adaptive dynamic run-length coding for image segmentation (SA, CCH, ES), pp. 31–36.
SAC-2006-MandalCDC #detection #documentation #image: Detection and segmentation of tables and math-zones from document images (SM, SPC, AKD, BC), pp. 841–846.
DATE-DF-2006-ArifinC #adaptation #clustering #implementation #logic #novel: A novel FPGA-based implementation of time adaptive clustering for logical story unit segmentation (SA, PYKC), pp. 227–232.
DRR-2005-BairdR #named: ScatterType: a reading CAPTCHA resistant to segmentation attack (HSB, TPR), pp. 197–207.
DRR-2005-SadriSB #approach #recognition #string: New approach for segmentation and recognition of handwritten numeral strings (JS, CYS, TDB), pp. 92–100.
DRR-2005-ShiG #documentation #image #normalisation #using: Historical document image segmentation using background light intensity normalization (ZS, VG), pp. 167–174.
ECDL-2005-NeveO #comparison #information retrieval #music: A Comparison of Melodic Segmentation Techniques for Music Information Retrieval (GN, NO), pp. 49–56.
ICDAR-2005-AntonacopoulosBG #contest: Page Segmentation Competition (AA, DB, BG), pp. 75–79.
ICDAR-2005-ChengB #heuristic #using #word: The Neural-based Segmentation of Cursive Words using Enhanced Heuristics (CKC, MB), pp. 650–654.
ICDAR-2005-ChenL #algorithm #analysis #component #independence: Independent Component Analysis Segmentation Algorithm (YC, GL), pp. 680–684.
ICDAR-2005-FuDLJ #algorithm #markov #modelling #recognition #string: A Hidden Markov Model Based Segmentation and Recognition Algorithm for Chinese Handwritten Address Character Strings (QF, XQD, CSL, YJ), pp. 590–594.
ICDAR-2005-GaoLV #algorithm #online #programming: A Two-stage Online Handwritten Chinese Character Segmentation Algorithm Based on Dynamic Programming (XG, PML, CVG), pp. 735–739.
ICDAR-2005-GarainC #analysis #approach #multi: Segmentation of Touching Symbols for OCR of Printed Mathematical Expressions: An Approach based on Multifactorial Analysis (UG, BBC), pp. 177–181.
ICDAR-2005-HanL #approach #recognition: A two-stage handwritten character segmentation approach in mail address recognition (ZH, CPL), pp. 111–115.
ICDAR-2005-LorigoG: Segmentation and Pre-Recognition of Arabic Handwriting (LML, VG), pp. 605–609.
ICDAR-2005-Mancas-ThillouMG #component: Camera-based Degraded Character Segmentation into Individual Components (CMT, MM, BG), pp. 755–759.
ICDAR-2005-MandalCDC #automation #identification: A Hierarchical Method for Automated Identification and Segmentation of Forms (SM, SPC, AKD, BC), pp. 705–709.
ICDAR-2005-NicolasKPH #documentation #markov #random #using: Handwritten Document Segmentation Using Hidden Markov Random Fields (SN, YK, TP, LH), pp. 212–216.
ICDAR-2005-OliveiraBS #algorithm #database: A Synthetic Database to Assess Segmentation Algorithms (LSO, AdSBJ, RS), pp. 207–211.
ICDAR-2005-ShiG #documentation #multi: Multi-scale Techniques for Document Page Segmentation (ZS, VG), pp. 1020–1024.
ICDAR-2005-SongKCBKCJC #documentation #image: Text Region Extraction and Text Segmentation on Cameracaptured Document Style Images (YJS, KCK, YWC, HRB, SHK, SYC, DKJ, YC), pp. 172–176.
ICDAR-2005-Sun #documentation #layout: Page Segmentation for Manhattan and Non-Manhattan Layout Documents via Selective CRLA (HMS), pp. 116–120.
ICDAR-2005-Suwa #graph #representation: Segmentation of Connected Handwritten Numerals by Graph Representation (MS), pp. 750–754.
ICDAR-2005-WeiMJ #algorithm #search-based: Segmentation of Connected Chinese Characters Based on Genetic Algorithm (XW, SM, YJ), pp. 645–649.
ICDAR-2005-YinYW #online #programming: Online Segmentation of Freehand Stroke by Dynamic Programming (YL, YY, LW), pp. 197–201.
ICDAR-2005-YokobayashiW #correlation #image #recognition #using: Segmentation and Recognition of Characters in Scene Images Using Selective Binarization in Color Space and GAT Correlation (MY, TW), pp. 167–171.
ICDAR-2005-ZhuN #network #online #recognition: Segmentation of On-line Handwritten Japanese Text of Arbitrary Line Direction by a Neural Network for Improving Text Recognition (BZ, MN), pp. 157–161.
ECIR-2005-RenJ #video: Football Video Segmentation Based on Video Production Strategy (RR, JMJ), pp. 433–446.
MLDM-2005-LiFKL #automation #image #modelling #using: Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM (SL, TF, AK, SL), pp. 314–324.
SAC-2005-AntonelliLM #image #re-engineering: Segmentation and reconstruction of the lung volume in CT images (MA, BL, FM), pp. 255–259.
DRR-2004-WangD: Comprehensive printed Tibetan/English mixed text segmentation method (HW, XD), pp. 136–146.
DRR-2004-WenD #documentation #framework #multi: A general framework for multicharacter segmentation and its application in recognizing multilingual Asian documents (DW, XD), pp. 147–154.
JCDL-2004-YangL #approach #fault #statistics #using: Error anaylsis of Chinese text segmentation using statistical approach (CCY, KWL), pp. 256–257.
SIGMOD-2004-LermanGMK #automation #using #web: Using the Structure of Web Sites for Automatic Segmentation of Tables (KL, LG, SM, CAK), pp. 119–130.
ICEIS-v2-2004-BangDHD #concept #data mining #effectiveness #framework #knowledge base #mining: Data Mining of CRM Knowledge Bases for Effective Market Segmentation: A Conceptual Framework (JB, ND, LH, RRD), pp. 335–342.
ICPR-v1-2004-AllierE #documentation #image #using: Segmentation and Typography Extraction in Document Images Using Geodesic Active Regions (BA, HE), pp. 409–412.
ICPR-v1-2004-ChabrierELRM #evaluation #image #multi: Unsupervised Evaluation of Image Segmentation Application to Multi-spectral Images (SC, BE, HL, CR, PM), pp. 576–579.
ICPR-v1-2004-ClausiD #image: Feature Fusion for Image Texture Segmentation (DAC, HD), pp. 580–583.
ICPR-v1-2004-ClausiY #comparison #markov #random #using: Texture Segmentation Comparison Using Grey Level Co-Occurrence Probabilities and Markov Random Fields (DAC, BY), pp. 584–587.
ICPR-v1-2004-KimMPJP #image: Non-contrast Based Edge Descriptor for Image Segmentation (BGK, PSM, DJP, JHJ, JSP), pp. 572–575.
ICPR-v1-2004-LeydierBE #adaptation #classification #image: Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts (YL, FLB, HE), pp. 494–497.
ICPR-v1-2004-LiEFR #approach #multi: A Multi-Label Front Propagation Approach for Object Segmentation (HL, AE, MJF, SR), pp. 600–603.
ICPR-v1-2004-MaedaKI #clustering #data-driven #database #probability #process: Segmentation of Range Data Based on A Stochastic Clustering Method with Competitive Process (MM, KK, KI), pp. 624–627.
ICPR-v1-2004-MajchrzakS: Parallelizing Motion Segmentation by Perceptual Organization of XYT (DM, SS), pp. 773–776.
ICPR-v1-2004-MitchellY #image: Connected Pattern Segmentation and Title Grouping in Newspaper Images (PEM, HY), pp. 397–400.
ICPR-v1-2004-NammalwarGW #integration: Integration of Feature Distributions for Colour Texture Segmentation (PN, OG, PFW), pp. 716–719.
ICPR-v1-2004-NasiosB #approach #image: A Variational Approach for Color Image Segmentation (NN, AGB), pp. 680–683.
ICPR-v1-2004-SunG #image #markov #random: Bayesian Image Segmentation Based on an Inhomogeneous Hidden Markov Random Field (JS, DG), pp. 596–599.
ICPR-v1-2004-ThirdeJ #modelling #probability #video: Hierarchical Probabilistic Models for Video Object Segmentation and Tracking (DT, GAJ), pp. 636–639.
ICPR-v1-2004-YangLHH #recognition: Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand (MY, GL, CH, SMH), pp. 441–444.
ICPR-v1-2004-Zwiggelaar #automation #matrix: Texture Based Segmentation: Automatic Selection of Co-Occurrence Matrices (RZ), pp. 588–591.
ICPR-v2-2004-CorsoDH #energy #image: Image Segmentation Through Energy Minimization Based Subspace Fusion (JJC, MD, GDH), pp. 120–123.
ICPR-v2-2004-DengC #image #implementation #using: Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme (HD, DAC), pp. 691–694.
ICPR-v2-2004-FarmerJ #approach #classification #image: A Wrapper-Based Approach to Image Segmentation and Classification (MEF, AKJ), pp. 106–109.
ICPR-v2-2004-FeiginS #adaptation #functional: Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-like Functional (MF, NAS), pp. 98–101.
ICPR-v2-2004-KaratzasA #image #using #web: Text Extraction from Web Images Based on A Split-and-Merge Segmentation Method Using Colour Perception (DK, AA), pp. 634–637.
ICPR-v2-2004-Kazanov #algorithm #image: A New Color Image Segmentation Algorithm based on Watershed Transformation (MK), pp. 590–593.
ICPR-v2-2004-KimuraTYTT #adaptation #grid #parallel: Parallel Volume Segmentation with Tetrahedral Adaptive Grid (AK, YT, YY, ST, HTT), pp. 281–286.
ICPR-v2-2004-LiNCS: A Segmentation Method for Touching Italic Characters (YL, SN, MC, CYS), pp. 594–597.
ICPR-v2-2004-LiZYH #image #performance #robust #sequence: FFT Snake: A Robust and Efficient Method for the Segmentation of Arbitrarily Shaped Objects in Image Sequences (TL, YZ, DY, DH), pp. 116–119.
ICPR-v2-2004-ParkYKJ #approach #recognition #string: A Two-Stage Approach for Segmentation and Recognition of Handwritten Digit Strings Collected from Mail Pieces (SP, YY, GK, SHJ), pp. 626–629.
ICPR-v2-2004-Srinivasan #approximate: Small-world Approximations in Spectral Segmentation (SHS), pp. 36–39.
ICPR-v2-2004-StefanoGM #approach #feature model #multi #online: A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction (CDS, MG, AM), pp. 614–617.
ICPR-v2-2004-ToyozumiYMKMST #case study #recognition #using: A Study of Symbol Segmentation Method for Handwritten Mathematical Formula Recognition using Mathematical Structure Information (KT, NY, KM, TK, KM, YS, TT), pp. 630–633.
ICPR-v2-2004-WangZKT #distance #image #set: Level Set Methods, Distance Function and Image Segmentation (DW, JZ, SCK, ZT), pp. 110–115.
ICPR-v3-2004-BarnardO #adaptation #robust #using: Robust Playfield Segmentation using MAP Adaptation (MB, JMO), pp. 610–613.
ICPR-v3-2004-BoccignoneCMP #using #video: Using Attention for Video Segmentation (GB, AC, VM, AP), pp. 838–841.
ICPR-v3-2004-BruijneN #image: Image Segmentation by Shape Particle Filtering (MdB, MN), pp. 722–725.
ICPR-v3-2004-CaoSYW: Breast Mass Segmentation based on Information Theory (AC, QS, XY, LW), pp. 758–761.
ICPR-v3-2004-DamLL #automation #interactive: Integrating Automatic and Interactive Brain Tumor Segmentation (ED, ML, MMJL), pp. 790–793.
ICPR-v3-2004-DEliaMMPST #classification #clustering #detection: Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification (CD, CM, MM, GP, GS, FT), pp. 742–745.
ICPR-v3-2004-FongC #modelling: Edge Model Based Segmentation (CKF, WkC), pp. 618–621.
ICPR-v3-2004-FusseneggerOPA #detection #recognition #using: Object Recognition Using Segmentation for Feature Detection (MF, AO, AP, PA), pp. 41–44.
ICPR-v3-2004-GinnekenL #image: Pixel Position Regression — Application to Medical Image Segmentation (BvG, ML), pp. 718–721.
ICPR-v3-2004-HuangWTC #recognition: A New Iris Segmentation Method for Recognition (JH, YW, TT, JC), pp. 554–557.
ICPR-v3-2004-JiangZCTL #image: An Enhanced Appearance Model for Ultrasound Image Segmentation (YJ, ZZ, FC, HTT, TKL), pp. 802–805.
ICPR-v3-2004-KarlssonOH #automation #image: Automatic Segmentation of Zona Pellucida in HMC Images of Human Embryos (AK, NCO, AH), pp. 518–521.
ICPR-v3-2004-Meas-YedidGMPSO #automation #biology #image: Automatic Color Space Selection for Biological Image Segmentation (VMY, EG, EM, CP, GS, JCOM), pp. 514–517.
ICPR-v3-2004-MoW #modelling #using #video: Video Modelling and Segmentation Using Gaussian Mixture Models (XM, RW), pp. 854–857.
ICPR-v3-2004-ParkLL #array #automation #image: Automatic Microarray Image Segmentation Based on Watershed Transformation (CBP, KWL, SWL), pp. 786–789.
ICPR-v3-2004-ReiterR #classification #multi #programming #using: Segmentation and Classification of Meeting Events using Multiple Classifier Fusion and Dynamic Programming (SR, GR), pp. 434–437.
ICPR-v3-2004-SalbergH #estimation #using: Object Segmentation and Feature Estimation Using Shadows (ABS, AH), pp. 674–678.
ICPR-v3-2004-UsoPG #energy #image #novel: A Novel Energy Minimization Criterion for Color Image Segmentation (AMU, FP, PGS), pp. 206–209.
ICPR-v3-2004-XiangW #clustering #image: Range Image Segmentation Based on Split-Merge Clustering (RX, RW), pp. 614–617.
ICPR-v3-2004-XiaoSW #distance: Topological Segmentation of Discrete Human Body Shapes in Various Postures Based on Geodesic Distance (YX, PS, NW), pp. 131–135.
ICPR-v3-2004-ZhuK: Key-Based Melody Segmentation for Popular Songs (YZ, MSK), pp. 862–865.
ICPR-v4-2004-HeroorC #detection #graph: Affine Layer Segmentation and Adjacency Graphs for Vortex Detection (SH, IC), pp. 223–226.
ICPR-v4-2004-MacDormanCA #component #generative #network: Periodic Nonlinear Principal Component Neural Networks for Humanoid Motion Segmentation, Generalization, and Generation (KFM, RC, MA), pp. 537–540.
ICPR-v4-2004-Moreno-NoguerS #integration #multi: Integration of Shape and a Multihypotheses Fisher Color Model for Figure-Ground Segmentation in Non-Stationary Environments (FMN, AS), pp. 771–774.
ICPR-v4-2004-PeursumBVW #using: Human Action Segmentation via Controlled Use of Missing Data in HMMs (PP, HHB, SV, GAWW), pp. 440–445.
ICPR-v4-2004-ShapiroG #classification #multi #recognition: Multinational License Plate Recognition System: Segmentation and Classification (VS, GG), pp. 352–355.
ICPR-v4-2004-YazdiAB #analysis #process: Morphological Analysis of Spatio-Temporal Patterns for the Segmentation of Cyclic Human Activities (MY, ABA, RB), pp. 240–243.
ICPR-v4-2004-ZengG #semantics: Semantic Object Segmentation by a Spatio-Temporal MRF Model (WZ, WG), pp. 775–778.
KDD-2004-AgichteinG #automation #mining: Mining reference tables for automatic text segmentation (EA, VG), pp. 20–29.
KDD-2004-EsterGJH #data mining #mining #problem: A microeconomic data mining problem: customer-oriented catalog segmentation (ME, RG, WJ, ZH), pp. 557–562.
SAC-2004-MateosSA: Evolutionary segmentation of yeast genome (DM, JCRS, JSAR), pp. 1026–1027.
DRR-2003-FaconY #matrix: Morphological postal envelope segmentation by co-occurrence matrix (JF, EAY), pp. 294–304.
DRR-2003-MaD: Bootstrapping structured page segmentation (HM, DSD), pp. 179–188.
ICDAR-2003-AgneDK #benchmark #documentation #metric: Evaluating SEE — A Benchmarking System for Document Page Segmentation (SA, AD, BK), p. 634–?.
ICDAR-2003-AntonacopoulosGK #contest: ICDAR 2003 Page Segmentation Competition (AA, BG, DK), p. 688–?.
ICDAR-2003-BesagniBB: A Segmentation Method for Bibliographic References by Contextual Tagging of Fields (DB, AB, NB), pp. 384–388.
ICDAR-2003-ChowdhuryMDC #automation #documentation #image: Automated Segmentation of Math-Zones from Document Images (SPC, SM, AKD, BC), pp. 755–759.
ICDAR-2003-FeldbachT #documentation #semantics #word: Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features (MF, KDT), pp. 333–337.
ICDAR-2003-HadjarI: Arabic Newspaper Page Segmentation (KH, RI), pp. 895–899.
ICDAR-2003-KaratzasA #image #web: Two Approaches for Text Segmentation in Web Images (DK, AA), pp. 131–136.
ICDAR-2003-LeedhamYTTM #algorithm #comparison #documentation #image: Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images (GL, YC, KT, JHNT, LM), p. 859–?.
ICDAR-2003-Legal-AyalaF #approach #image #learning: Image Segmentation By Learning Approach (HALA, JF), pp. 819–823.
ICDAR-2003-LooT #image #using: Using Irregular Pyramid for Text Segmentation and Binarization of Gray Scale Image (PKL, CLT), pp. 594–598.
ICDAR-2003-MandalCDC #automation #detection #documentation #image: Automated Detection and Segmentation of Table of Contents Page from Document Images (SM, SPC, AKD, BC), pp. 398–402.
ICDAR-2003-MenotiBFB #approach #feature model: Segmentation of Postal Envelopes for Address Block Location: an approach based on feature selection in wavelet space (DM, DLB, JF, AdSBJ), pp. 699–703.
ICDAR-2003-NomuraMUS #detection: Detection and Segmentation of Touching Characters in Mathematical Expression (AN, KM, SU, MS), pp. 126–130.
ICDAR-2003-PalD: Segmentation of Bangla Unconstrained Handwritten Text (UP, SD), pp. 1128–1132.
ICDAR-2003-PearceA #algorithm: An Evolutionary Algorithm for General Symbol Segmentation (SP, MA), pp. 726–730.
ICDAR-2003-ShafieiR #algorithm #markov #modelling #online #using #verification: A New On-Line Signature Verification Algorithm Using Variable Length Segmentation and Hidden Markov Models (MMS, HRR), p. 443–?.
ICDAR-2003-SimardSBCC #recognition #using: Using Character Recognition and Segmentation to Tell Computer from Humans (PYS, RS, JB, JC, IC), pp. 418–423.
ICDAR-2003-ToshihiroM #detection #documentation #image #matrix: Detection of Matrices and Segmentation of Matrix Elements in Scanned Images of Scientific Documents (KT, SM), pp. 433–437.
ICDAR-2003-Verma #recognition: A Contour Code Feature Based Segmentation For Handwriting Recognition (BV), pp. 1203–1207.
ICDAR-2003-XuLS #automation #recognition: Automatic Segmentation and Recognition System for Handwritten Dates on Canadian Bank Cheques (QX, LL, CYS), p. 704–?.
ICDAR-2003-YonekuraF #2d #clustering: Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform (EAY, JF), pp. 338–342.
ICDAR-2003-YouK #approach #network #string #using: An approach for locating segmentation points of handwritten digit strings using a neural network (DY, GK), p. 142–?.
ICEIS-v2-2003-TolbaMGA #algorithm #analysis #image #multi #using: MR-Brain Image Segmentation Using Gaussian Multiresolution Analysis and the EM Algorithm (MFT, MGM, TFG, MAMS), pp. 165–170.
MLDM-2003-MiteranBB #approximate #bound #classification #image #realtime #using: Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation (JM, SB, EBB), pp. 141–155.
SIGIR-2003-BawaMR #named #set #topic: SETS: search enhanced by topic segmentation (MB, GSM, PR), pp. 306–313.
SIGIR-2003-JiZ #independence #programming #using: Domain-independent text segmentation using anisotropic diffusion and dynamic programming (XJ, HZ), pp. 322–329.
SAC-2003-RagothamanP #assessment #hybrid: Hybrid Log Segmentation for Assured Damage Assessment (PR, BP), pp. 522–527.
JCDL-2002-MelucciO #automation #information retrieval #music: Evaluating automatic melody segmentation aimed at music information retrieval (MM, NO), pp. 310–311.
ICEIS-2002-LinyingSC #comprehension #image #knowledge-based #rule-based: Knowledge-Based Image Understanding: A Rule-Based Production System for X-Ray Segmentation (SL, BS, CCC), pp. 530–533.
CIKM-2002-BrantsCT #analysis #documentation #probability #semantics #topic: Topic-based document segmentation with probabilistic latent semantic analysis (TB, FC, IT), pp. 211–218.
ICPR-v1-2002-AblameykoKLPPPT #difference #image: From Cell Image Segmentation to Differential Diagnosis of Thyroid Cancer (SA, VK, DL, OP, NP, MP, OT), pp. 763–766.
ICPR-v1-2002-BrancaAD: Cast Shadow Removing in Foreground Segmentation (AB, GA, AD), pp. 214–217.
ICPR-v1-2002-ChenM #3d #image #integration #modelling: Integration of Gibbs Prior Models and Deformable Models for 3D Medical Image Segmentation (TC, DNM), pp. 719–722.
ICPR-v1-2002-ChenTHGB #functional #image: Simultaneous Segmentation and Registration for Functional MR Images (YC, SRT, FH, KSG, RWB), pp. 747–750.
ICPR-v1-2002-CinqueCLCP #parametricity: Improvement in Range Segmentation Parameters Tuning (LC, FC, SL, RC, GP), pp. 176–179.
ICPR-v1-2002-HoBG #3d #automation #contest #evolution: Level-Set Evolution with Region Competition: Automatic 3-D Segmentation of Brain Tumors (SH, EB, GG), p. 532–?.
ICPR-v1-2002-HungTL #3d #approach #video: A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes (YPH, YPT, CCL), pp. 496–499.
ICPR-v1-2002-JunTD #estimation #multi: Multiple Objects Segmentation Based on Maximum-Likelihood Estimation and Optimum Entropy-Distribution (MLE-OED) (JX, HTT, DX), p. 707–?.
ICPR-v1-2002-KampelS #automation #classification: Automated Segmentation of Archaeological Profiles or Classification (MK, RS), pp. 57–60.
ICPR-v1-2002-KatoPQ #image #multi: Multicue MRF Image Segmentation: Combining Texture and Color Features (ZK, TCP, SGQ), pp. 660–663.
ICPR-v1-2002-MannJE #programming #using: Trajectory Segmentation Using Dynamic Programming (RM, ADJ, TFEM), pp. 331–334.
ICPR-v1-2002-Meas-YedidTO #analysis #clustering #image #markov #random: Color Image Segmentation Based on Markov Random Field Clustering for Histological Image Analysis (VMY, ST, JCOM), pp. 796–799.
ICPR-v1-2002-MohantaMA #clustering #image: Agglomerative Clustering for Image Segmentation (PPM, DPM, STA), pp. 664–667.
ICPR-v1-2002-MoonBLG #modelling: Model-Based Brain and Tumor Segmentation (NM, EB, KVL, GG), pp. 528–531.
ICPR-v1-2002-NilssonH #clustering #modelling: Model-based Segmentation of Leukocytes Clusters (BN, AH), pp. 727–730.
ICPR-v1-2002-PangWZZ #automation #image #on the: On Automated Tongue Image Segmentation in Chinese Medicine (BP, KW, DZ, FZ), pp. 616–619.
ICPR-v1-2002-SaitohTK #automation #multi: Automatic Segmentation of Liver Region through Blood Vessels on Multi-Phase CT (TS, YT, TK), pp. 735–738.
ICPR-v1-2002-WollnyTK #analysis: Segmentation of Vector Fields by Critical Point Analysis: Application to Brain Deformation (GW, MT, FK), pp. 524–527.
ICPR-v2-2002-AuLD #using #video: Object Segmentation and Tracking Using Video Locales (JA, ZNL, MSD), pp. 544–547.
ICPR-v2-2002-Bab-HadiasharGS #modelling #robust: Robust Model Based Motion Segmentation (ABH, NG, DS), pp. 753–756.
ICPR-v2-2002-DrotDMZ #image #process: Object Point Processes for Image Segmentation (SD, XD, HLM, JZ), pp. 913–916.
ICPR-v2-2002-EcabertT #bound #image: Variational Image Segmentation by Unifying Region and Boundary Information (OE, JPT), pp. 885–888.
ICPR-v2-2002-KamijoIS #image #invariant #markov #random: Illumination Invariant Segmentation of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model (SK, KI, MS), pp. 617–622.
ICPR-v2-2002-KimJKS #clustering #detection #word: Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection (SHK, CBJ, HKK, CYS), pp. 320–323.
ICPR-v2-2002-LoogG #classification: Supervised Segmentation by Iterated Contextual Pixel Classification (ML, BvG), pp. 925–928.
ICPR-v2-2002-MunozMCF #image #multi: Unsupervised Active Regions for Multiresolution Image Segmentation (XM, JM, XC, JF), pp. 905–908.
ICPR-v2-2002-Okombi-DibaMS #image: Segmentation of Spatially Variant Image Textures (BROD, JM, KS), pp. 917–920.
ICPR-v2-2002-PaclikDKK #image: Supervised Segmentation of Textures in Backscatter Images (PP, RPWD, GMPvK, RK), pp. 490–493.
ICPR-v2-2002-Robles-KellySH #approximate #performance: A Fast Leading Eigenvector Approximation for Segmentation and Grouping (ARK, SS, ERH), pp. 639–642.
ICPR-v2-2002-Sappa: Improving Segmentation Results by Studying Surface Continuity (ADS), pp. 929–932.
ICPR-v2-2002-SumengenMK #evolution #image #using: Image Segmentation Using Curve Evolution and Region Stability (BS, BSM, CSK), pp. 965–968.
ICPR-v2-2002-WasikS #robust: Robust Color Segmentation for the RoboCup Domain (ZW, AS), pp. 651–650.
ICPR-v2-2002-YeL #image #markov #modelling #using: Wavelet-Based Unsupervised SAR Image Segmentation Using Hidden Markov Tree Models (ZY, CCL), pp. 729–732.
ICPR-v2-2002-YuB #image #using: Image Segmentation Using Gradient Vector Diffusion and Region Merging (ZY, CLB), pp. 941–944.
ICPR-v2-2002-ZhangTM #invariant: Invariant Texture Segmentation Via Circular Gabor Filters (JZ, TT, LM), pp. 901–904.
ICPR-v2-2002-ZimmerLMGO: Improving Active Contours for Segmentation and Tracking of Motile Cells in Videomicroscopy (CZ, EL, VMY, NG, JCOM), pp. 286–289.
ICPR-v2-2002-ZollerHB #clustering #parametricity: Combined Color And Texture Segmentation by Parametric Distributional Clustering (TZ, LH, JMB), pp. 627–630.
ICPR-v3-2002-BoufamaO #image: Region Segmentation and Matching in Stereo Images (BB, DJO), pp. 631–634.
ICPR-v3-2002-ChenZL #analysis #component #detection #independence: Edge Detection and Texture Segmentation Based on Independent Component Analysis (YWC, XYZ, HL), pp. 351–354.
ICPR-v3-2002-KimK #generative #image: A Wavelet-Based Watershed Image Segmentation for VOP Generation (JBK, HJK), pp. 505–504.
ICPR-v3-2002-LefevreMV #classification #process: A Two Level Classifier Process for Audio Segmentation (SL, BM, NV), pp. 891–894.
ICPR-v3-2002-MaragoudakisKF #independence #performance: Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Performance (MM, EK, NF), pp. 911–914.
ICPR-v3-2002-NicolescuM: 4-D Voting for Matching, Densification and Segmentation into Motion Layers (MN, GGM), pp. 303–308.
ICPR-v3-2002-ScheundersS #image #multi: Multiscale Watershed Segmentation of Multivalued Images (PS, JS), pp. 855–858.
ICPR-v3-2002-VinsonC #3d #multi #re-engineering: Multiple Rectangle Model for Vuildings Segmentation and 3D Scene Reconstruction (SV, LDC), pp. 623–626.
ICPR-v4-2002-ChenOB #markov #random #recognition: Text Segmentation and Recognition in Complex Background Based on Markov Random Field (DC, JMO, HB), pp. 227–230.
ICPR-v4-2002-TraverP #estimation #image #using: Motion Estimation and Figure-Ground Segmentation Using Log-Polar Images (VJT, FP), pp. 166–169.
ICPR-v4-2002-ZimmermannB #automation #database: Automatic Segmentation o the IAM Off-Line Database or Handwritten English Text (MZ, HB), pp. 35–39.
SIGIR-2002-PengHSCR #information retrieval #self #using #word: Using self-supervised word segmentation in Chinese information retrieval (FP, XH, DS, NC, SER), pp. 349–350.
ICDAR-2001-BelaidBVK #adaptation: Adaptive Technology for Mail-Order Form Segmentation (AB, YB, LNV, SK), pp. 689–693.
ICDAR-2001-BelaidCP #approach: Water Reservoir Based Approach for Touching Numeral Segmentation (AB, CC, UP), pp. 892–897.
ICDAR-2001-BlumensteinV #analysis #benchmark #database #metric #performance: Analysis of Segmentation Performance on the CEDAR Benchmark Database (MB, BV), pp. 1142–1146.
ICDAR-2001-Breuel #algorithm #programming #string #using: Segmentation of Handprinted Letter Strings Using a Dynamic Programming Algorithm (TMB), pp. 821–826.
ICDAR-2001-ElgammalI #framework #graph #recognition: A Graph-Based Segmentation and Feature-Extraction Framework for Arabic Text Recognition (AME, MAI), pp. 622–626.
ICDAR-2001-FeldbachT #detection: Line Detection and Segmentation in Historical Church Registers (MF, KDT), pp. 743–747.
ICDAR-2001-GarainC #analysis #fuzzy #multi #using: Segmentation of Touching Characters in Printed Devnagari and Bangla Scripts Using Fuzzy Multifactorial Analysis (UG, BBC), pp. 805–809.
ICDAR-2001-GatosMA #contest: First International Newspaper Segmentation Contest (BG, SLM, AA), p. 1190–?.
ICDAR-2001-GatosP #image #performance #set: Applying Fast Segmentation Techniques at a Binary Image Represented by a Set of Non-Overlapping Blocks (BG, NP), pp. 1147–1153.
ICDAR-2001-KimKCS #recognition: Legal Amount Recognition Based on the Segmentation Hypotheses for Bank Check Processing (KKK, JHK, YC, CYS), pp. 964–967.
ICDAR-2001-KimSJL #clustering #word: Word Segmentation in Handwritten Korean Text Lines Based on Gap Clustering Techniques (SHK, CYS, SJ, GL), pp. 189–193.
ICDAR-2001-KogaMSF #2d #bottom-up #parsing #recognition: A Recognition Method of Machine-Printed Monetary Amounts Based on the Two-Dimensional Segmentation and the Bottom-up Parsing (MK, RM, HS, HF), pp. 968–971.
ICDAR-2001-MaragoudakisKFK #how #independence: How Conditional Independence Assumption Affects Handwritten Character Segmentation (MM, EK, NF, GKK), pp. 246–250.
ICDAR-2001-MartiB #independence #recognition #word: Text Line Segmentation and Word Recognition in a System for General Writer Independent Handwriting Recognition (UVM, HB), pp. 159–163.
ICDAR-2001-MitchellY #analysis #documentation: Newspaper Document Analysis Featuring Connected Line Segmentation (PEM, HY), pp. 1181–1185.
ICDAR-2001-PengCLDZ #automation #documentation #evaluation #performance: An Automatic Performance Evaluation Method for Document Page Segmentation (LP, MC, CL, XD, JZ), pp. 134–137.
ICDAR-2001-RheeCK #feature model #online #using #verification: On-Line Signature Verification Using Model-Guided Segmentation and Discriminative Feature Selection for Skilled Forgeries (THR, SJC, JHK), pp. 645–649.
ICDAR-2001-StefanoCM #algorithm: An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms (CDS, ADC, AM), pp. 952–956.
ICDAR-2001-SylwesterS #adaptation #documentation #image: Adaptive Segmentation of Document Images (DS, SCS), pp. 827–831.
ICDAR-2001-TsuruokaTYST #image: Region Segmentation for Table Image with Unknown Complex Structure (ST, TT, TY, TS, KT), pp. 709–715.
ICDAR-2001-TulyakovG #probability #recognition #word: Probabilistic Model for Segmentation Based Word Recognition with Lexicon (ST, VG), pp. 164–167.
ICDAR-2001-WangKL #image: Character Segmentation of Color Images from Digital Camera (KW, JK, WL), pp. 210–214.
ICDAR-2001-XuSL #knowledge-based: A Knowledge-Based Segmentation System for Handwritten Dates on Bank Cheques (QX, CYS, LL), pp. 384–388.
ICDAR-2001-YamaguchiYSTT: A Segmentation Method for Touching Japanese Handwritten Characters Based on Connecting Condition of Line (TY, TY, TS, ST, MT), pp. 837–843.
ICDAR-2001-YoonLKC #paradigm #recognition #string: New Paradigm for Segmentation and Recognition of Handwritten Numeral String (SY, YL, GK, YC), pp. 205–209.
ICDAR-2001-ZhaoCSW #approach #using: Handwritten Chinese Character Segmentation Using a Two-Stage Approach (SZ, ZC, PS, QW), pp. 179–183.
JCDL-2001-EbadollahiC #generative #summary: View segmentation and static/dynamic summary generation for echocardiogram videos (SE, SFC), p. 456.
CSMR-2001-CagninPMM #case study #comparison #maintenance #re-engineering: Comparison of Maintainability Improvement by Segmentation and Reengineering — A Case Study (MIC, RP, PCM, JCM), pp. 158–167.
IWPC-2001-GoldB #concept #flexibility: A Flexible Method for Segmentation in Concept Assignmen (NG, KHB), pp. 135–144.
ICML-2001-SeldinBT #markov #memory management #sequence: Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources (YS, GB, NT), pp. 513–520.
SIGIR-2001-BleiM #markov #topic: Topic Segmentation with an Aspect Hidden Markov Model (DMB, PJM), pp. 343–348.
SIGIR-2001-MoensB #documentation #topic: Generic Topic Segmentation of Document Texts (MFM, RDB), pp. 418–419.
SIGIR-2001-PonceleonS #speech: Structure and Content-Based Segmentation of Speech Transcripts (DBP, SS), pp. 404–405.
SIGIR-2001-StentL #using: Using Event Segmentation to Improve Indexing of Consumer Photographs (AS, ACL), pp. 59–65.
ECDL-2000-RamosM #clustering #search-based: Map Segmentation by Colour Cube Genetic K-Mean Clustering (VR, FM), pp. 319–323.
ICML-2000-McCallumFP #information management #markov #modelling: Maximum Entropy Markov Models for Information Extraction and Segmentation (AM, DF, FCNP), pp. 591–598.
ICPR-v1-2000-AnsiaLPM #3d #automation #re-engineering #using: Automatic 3D Shape Reconstruction of Bones Using Active Nets Based Segmentation (FMA, JL, MGP, AMG), pp. 1486–1489.
ICPR-v1-2000-BaillardHB #3d #set: Cooperation between Level Set Techniques and Dense 3D Registration for the Segmentation of Brain Structures (CB, PH, CB), pp. 1991–1994.
ICPR-v1-2000-BhanuF #image #interactive #learning: Learning Based Interactive Image Segmentation (BB, SF), pp. 1299–1302.
ICPR-v1-2000-BorgesA #2d #algorithm #image: A Split-and-Merge Segmentation Algorithm for Line Extraction in 2-D Range Image (GdAB, MJA), pp. 1441–1444.
ICPR-v1-2000-CinqueLPCM #algorithm #parametricity #search-based: Optimal Range Segmentation Parameters through Genetic Algorithms (LC, SL, GP, RC, SM), pp. 1474–1477.
ICPR-v1-2000-DevauxGT #image: Aerial Color Image Segmentation by Karhunen-Loeve Transform (JCD, PG, FT), pp. 1309–1312.
ICPR-v1-2000-FernandezA #image: Image Segmentation Combining Region Depth and Object Features (JF, JA), pp. 1618–1621.
ICPR-v1-2000-FontaineMP #analysis: Unsupervised Segmentation Based on Connectivity Analysis (MF, LM, JGP), pp. 1660–1663.
ICPR-v1-2000-GandhiKA: Application of Planar Motion Segmentation for Scene Text Extraction (TG, RK, SA), pp. 1445–1449.
ICPR-v1-2000-GongL #classification #video: Video Shot Segmentation and Classification (YG, XL), pp. 1860–1863.
ICPR-v1-2000-HeikkilaSS #estimation #using: Camera Motion Estimation from Non-Stationary Scenes Using EM-Based Motion Segmentation (JH, PS, OS), pp. 1370–1374.
ICPR-v1-2000-LeeT #adaptation #image #parallel: Parallel Image Segmentation with Adaptive Mesh (SSL, HTT), pp. 1635–1639.
ICPR-v1-2000-Lopez-RubioMG #image #robust: A Robust Two-Stage System for Image Segmentation (ELR, JMP, JAGR), pp. 1606–1609.
ICPR-v1-2000-MarlowO #generative: Supervised Object Segmentation and Tracking for MPEG-4 VOP Generation (SM, NEO), pp. 5125–5128.
ICPR-v1-2000-MarquesV #approach: A Morphological Approach for Segmentation and Tracking of Human Face (FM, VV), pp. 5064–5067.
ICPR-v1-2000-MinPB #automation #evaluation #image: Progress in Automated Evaluation of Curved Surface Range Image Segmentation (JM, MWP, KWB), pp. 1644–1647.
ICPR-v1-2000-Mitchell #analysis #documentation #layout #using: Document Page Segmentation and Layout Analysis Using Soft Ordering (PEM, HY), pp. 1458–1461.
ICPR-v1-2000-NedzvedAP #image: Morphological Segmentation of Histology Cell Images (AN, SA, IP), pp. 1500–1503.
ICPR-v1-2000-NielsenP #adaptation #problem #representation #using: A Solution to the Problem of Segmentation near Edges Using Adaptable Class-Specific Representation (CFN, PJP), pp. 1436–1440.
ICPR-v1-2000-NoordamBB #clustering #fuzzy #geometry #image #multi: Geometrically Guided Fuzzy C-Means Clustering for Multivariate Image Segmentation (JCN, WHAMVdB, LMCB), pp. 1462–1465.
ICPR-v1-2000-PapaioannouKT #3d #re-engineering #recognition: Segmentation and Surface Characterization of Arbitrary 3D Meshes for Object Reconstruction and Recognition (GP, EAK, TT), pp. 1734–1737.
ICPR-v1-2000-RidderKLD #adaptation: The Adaptive Subspace Map for Texture Segmentation (DdR, JK, OL, RPWD), pp. 1216–1220.
ICPR-v1-2000-RosenbergerC #clustering #estimation #image: Unsupervised Clustering Method with Optimal Estimation of the Number of Clusters: Application to Image Segmentation (CR, KC), pp. 1656–1659.
ICPR-v1-2000-SalousPC #image #modelling: Iconic Modeling for the Progressive Transmission of Neurological Images: Segmentation (MNS, DP, GSC), pp. 1512–1515.
ICPR-v1-2000-SchuppEFHB #clustering #fuzzy #image #modelling #multi: Image Segmentation via Multiple Active Contour Models and Fuzzy Clustering with Biomedical Applications (SS, AE, MJF, PH, DB), pp. 1622–1625.
ICPR-v1-2000-SinghMH #classification #image: FLIR Image Segmentation and Natural Object Classification (SS, MM, JFH), pp. 1681–1684.
ICPR-v1-2000-SomeyaKHI #3d #locality #using: Localization of Objects in Electric Distribution Systems by Using Segmentation and 3D Template Matching with M-Estimators (YS, KK, KH, KI), pp. 1725–1729.
ICPR-v1-2000-SunFT #video: Spatio-Temporal Segmentation for Video Surveillance (HS, TF, TT), pp. 1843–1846.
ICPR-v1-2000-TangXM #contest #parametricity #semantics: Semantically Homogeneous Segmentation with Nonparametric Region Competition (MT, JX, SM), pp. 1648–1651.
ICPR-v1-2000-VogelBK #automation #image: (Semi-) Automatic Segmentation in Historic Collections of Heraldic Images (JV, WTB, WK), pp. 1478–1481.
ICPR-v2-2000-ChenW #analysis #string #using: Segmentation of Handwritten Connected Numeral String Using Background and Foreground Analysis (YKC, JFW), pp. 2598–2601.
ICPR-v2-2000-GiacconeTJ #network: Foreground-Background Segmentation by Cellular Neural Networks (PRG, DT, GAJ), pp. 2438–2441.
ICPR-v2-2000-KavallieratouSFK #learning #using: Handwritten Character Segmentation Using Transformation-Based Learning (EK, ES, NF, GKK), pp. 2634–2637.
ICPR-v2-2000-KimSK #recognition #string: Recognition of Unconstrained Handwritten Numeral Strings by Composite Segmentation Method (KKK, CYS, JHK), pp. 2594–2597.
ICPR-v2-2000-NgB #classification #using: Supervised Texture Segmentation using DWT and a Modified K-NN Classifier (BWN, AB), pp. 2545–2548.
ICPR-v2-2000-OliveiraLBS #approach: A New Segmentation Approach for Handwritten Digits (LESdO, EL, FB, RS), pp. 2323–2326.
ICPR-v2-2000-PanditKLC #case study #comparative: A Comparative Study of Different Segmentation Approaches for Audio Track Indexing (MP, JK, YL, EC), pp. 2467–2470.
ICPR-v3-2000-AcharyyaK #using: Two Texture Segmentation Using M-Band Wavelet Transform (MA, MKK), pp. 3405–3408.
ICPR-v3-2000-Atae-AllahGMRL #image #metric: Image Segmentation by Jensen-Shannon Divergence. Application to Measurement of Interfacial Tension (CAA, JFGL, JMA, RRR, PLLE), pp. 3383–3386.
ICPR-v3-2000-BenaventeSBVL #normalisation: Normalized Color Segmentation for Human Appearance Description (RB, GS, RB, MV, JL), pp. 3637–3641.
ICPR-v3-2000-ChenCL #video: Object Segmentation for Video Coding (LHC, JRC, HYML), pp. 3387–3390.
ICPR-v3-2000-ChoPP #image #using: Segmentation of Color Image Using Deterministic Annealing EM (WHC, SYP, JP), pp. 3646–3649.
ICPR-v3-2000-DengT #approach #gesture #recognition: An HMM-Based Approach for Gesture Segmentation and Recognition (JD, HTT), pp. 3683–3686.
ICPR-v3-2000-dOrnellas #approach #multi: A Multi-Scale Gradient Approach for Color-Based Morphological Segmentation (MCd), pp. 3367–3370.
ICPR-v3-2000-Ichimura #feature model #using: Motion Segmentation Using Feature Selection and Subspace Method Based on Shape Space (NI), pp. 3858–3864.
ICPR-v3-2000-KimC #image #network #sequence #using: Segmentation of Image Sequences Using SOFM Networks (JK, TC), pp. 3877–3880.
ICPR-v3-2000-KorimilliS: Motion Segmentation Based on Perceptual Organization of Spatio-Temporal Volumes (KK, SS), pp. 3852–3857.
ICPR-v3-2000-KozlovMSRK #performance: Fast Redundant Dyadic Wavelet Transform in Application to Spatial Registration of the Expression Patterns of Drosophila Segmentation Genes (KK, EM, MS, JR, DK), pp. 3463–3466.
ICPR-v3-2000-LiapisST #algorithm #performance #using: Color and/or Texture Segmentation Using Deterministic Relaxation and Fast Marching Algorithms (SL, ES, GT), pp. 3621–3624.
ICPR-v3-2000-LimiaNF #3d: Texture Segmentation of a 3D Seismic Section with Wavelet Transform and Gabor Filters (MFL, AMN, MTF), pp. 3358–3361.
ICPR-v3-2000-MaedaINTS #algorithm #fuzzy #image #using: Rough and Accurate Segmentation of Natural Color Images Using Fuzzy Region-Growing Algorithm (JM, CI, SN, NT, YS), pp. 3642–3645.
ICPR-v3-2000-Manduchi #clustering: A Cluster Grouping Technique for Texture Segmentation (RM), pp. 7072–7075.
ICPR-v3-2000-NowakF: Unsupervised Segmentation of Poisson Data (RDN, MATF), pp. 3159–3162.
ICPR-v3-2000-OrWLL #modelling #using #video: Panoramic Video Segmentation Using Color Mixture Models (SHO, KhW, KsL, TkL), pp. 3391–3394.
ICPR-v3-2000-Perner #parametricity #reasoning: Controlling the Segmentation Parameters by Case-Based Reasoning (PP), pp. 3975–3978.
ICPR-v3-2000-PuzichaB #image #modelling: Model-Based Halftoning for Color Image Segmentation (JP, SB), pp. 3633–3636.
ICPR-v3-2000-RuanFBX #3d #image: Unsupervised Segmentation of Three-Dimensional Brain Images (SR, MJF, DB, JHX), pp. 3409–3412.
ICPR-v3-2000-RubertoDKJ #image #using: Segmentation of Blood Images Using Morphological Operators (CDR, AGD, SK, BJ), pp. 3401–3404.
ICPR-v3-2000-Ruiz-del-SolarK #architecture: Neural-Based Architectures for the Segmentation of Textures (JRdS, DK), pp. 7092–7095.
ICPR-v3-2000-UchiyamaMK #estimation #image: Estimation of Homogeneous Regions for Segmentation of Textured Images (TU, NM, HK), pp. 7084–7087.
ICPR-v3-2000-VandenbrouckeMP #classification #image: Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation (NV, LM, JGP), pp. 3625–3628.
ICPR-v3-2000-Verges-LlahiSC #algorithm #clustering #constraints #graph #image: Color Image Segmentation Solving Hard-Constraints on Graph Partitioning Greedy Algorithms (JVL, AS, JC), pp. 3629–3632.
ICPR-v3-2000-VincentCF #3d #tool support #using: Spatio-Temporal Segmentation Using 3D Morphological Tools (VA, CR, FH), pp. 3885–3892.
ICPR-v3-2000-WangB #detection #energy #modelling: Detection and Segmentation of Generic Shapes Based on Vectorial Affine Modeling of Energy in Eigenspace (ZW, JBA), pp. 3983–3987.
ICPR-v3-2000-ZhangW #clustering #image: A New Method of Color Image Segmentation Based on Intensity and Hue Clustering (CZ, PSPW), pp. 3617–3620.
ICPR-v4-2000-Egmont-PetersenFNHBVR #image #multi #network #using: Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features (MEP, AFF, WJN, PCWH, JLB, MAV, JHCR), pp. 4080–4083.
ICPR-v4-2000-GilRS #approach #image #probability: Segmentation of artery wall in coronary IVUS images: A Probabilistic Approach (DG, PR, JS), pp. 4352–4355.
ICPR-v4-2000-JiangBMHSIBGLB #algorithm #case study #comparison #image: Some Further Results of Experimental Comparison of Range Image Segmentation Algorithms (XJ, KWB, YM, SH, KS, SI, MB, CG, REL, JMHdB), pp. 4877–4882.
ICPR-v4-2000-MaoK #algorithm #approach #automation #optimisation: Automatic Training of Page Segmentation Algorithms: An Optimization Approach (SM, TK), pp. 4531–4534.
ICPR-v4-2000-OnishiIF00a #image #using #video: Blackboard Segmentation Using Video Image of Lecture and Its Applications (MO, MI, KF), pp. 4615–4618.
ICPR-v4-2000-SziranyiC #optimisation #parallel #using: Spatio-Temporal Segmentation with Edge Relaxation and Optimization Using Fully Parallel Methods (TS, LC), pp. 4820–4823.
ICPR-v4-2000-ToledoORBVMV: Eigensnakes for Vessel Segmentation in Angiography (RT, XO, PR, XB, JV, CCM, JJV), pp. 4340–4343.
ICPR-v4-2000-VeneauRB #clustering #sequence #video: From Video Shot Clustering to Sequence Segmentation (EV, RR, PB), pp. 4254–4257.
ICPR-v4-2000-WangHP #approach #statistics #word: Statistical-Based Approach to Word Segmentation (YW, RMH, ITP), pp. 4555–4558.
ICPR-v4-2000-YangY #documentation #image #robust: A Robust Document Processing System Combining Image Segmentation with Content-Based Document Compression (YY, HY), pp. 4519–4522.
ICDAR-1999-AntonacopoulosB #algorithm #analysis #flexibility #performance: Methodology for Flexible and Efficient Analysis of the Performance of Page Segmentation Algorithms (AA, AB), pp. 451–454.
ICDAR-1999-BishnuC #recursion: Segmentation of Bangla Handwritten Text into Characters by Recursive Contour Following (AB, BBC), pp. 402–405.
ICDAR-1999-BlumensteinV #benchmark #database #metric #recognition #word: Neural-based Solutions for the Segmentation and Recognition of Difficult Handwritten Words from a Benchmark Database (MB, BV), pp. 281–284.
ICDAR-1999-CesariniGMS #documentation #representation: Structured Document Segmentation and Representation by the Modified X-Y tree (FC, MG, SM, GS), pp. 563–566.
ICDAR-1999-ChenMM #algorithm #graph #performance: An Efficient Algorithm for Matching a Lexicon with a Segmentation Graph (DYC, JM, KMM), pp. 543–546.
ICDAR-1999-GaoDW #algorithm #string: A Segmentation Algorithm for Handwritten Chinese Character Strings (JG, XD, YW), pp. 633–636.
ICDAR-1999-GrabowskiLM: Stepwise Segmentation and Interpretation of Section Representations in Vectorized Drawings (HG, CL, AM), pp. 677–680.
ICDAR-1999-KameshiroHOY #documentation #fault #image #multi #recognition #retrieval #using: A Document Image Retrieval Method Tolerating Recognition and Segmentation Errors of OCR using Shape-Feature and Multiple Candidates (TK, TH, YO, FY), pp. 681–684.
ICDAR-1999-LiangHP #statistics: A Statistically based, Highly Accurate Text-line Segmentation Method (JL, RMH, ITP), pp. 551–554.
ICDAR-1999-LohakanAS #word: Single-character Segmentation for Handprinted Thai Word (ML, SA, MS), pp. 661–664.
ICDAR-1999-LuSWR #implementation #recognition: An Implementation of Postal Numerals Segmentation and Recognition System for Chinese Business Letters (YL, PS, JW, JR), pp. 725–728.
ICDAR-1999-MarinaiN: Projection based Segmentation of Musical Sheets (SM, PN), pp. 515–518.
ICDAR-1999-ParkGS #performance #recognition #word: Efficient Word Segmentation Driven by Unconstrained Handwritten Phrase Recognition (JP, VG, SNS), pp. 605–608.
ICDAR-1999-SuralD #algorithm #documentation #generative #image #parallel: A Two-step Algorithm and its Parallelization for the Generation of Minimum Containing Rectangles for Document Image Segmentation (SS, PKD), pp. 173–176.
ICDAR-1999-ThulkeMD #documentation #evaluation #quality: Quality Evaluation of Document Segmentation Results (MT, VM, AD), p. 450.
ICDAR-1999-WorringT #clustering #documentation #using: Segmentation of Color Documents by Line Oriented Clustering using Spatial Information (MW, LT), pp. 67–70.
ICDAR-1999-XiaoL: Cursive Script Segmentation Incorporating Knowledge of Writing (XX, GL), pp. 535–538.
CSMR-1999-PenteadoMC #empirical #legacy #maintenance: An Experiment of Legacy Code Segmentation to Improve Maintainability (RP, PCM, MIC), pp. 111–121.
HCI-EI-1999-SchedlPS #design #interface: Customer Segmentation and Interface Design (HS, HP, HS), pp. 576–579.
ICEIS-1999-LinyingSD #image #network: Neural Networks for X-Ray Image Segmentation (SL, BS, DND), pp. 264–271.
CIKM-1999-ChiDL #documentation #framework #recognition #web #word: Word Segmentation and Recognition for Web Document Framework (CHC, C(D, AL), pp. 458–465.
SIGIR-1999-DaiLK #information management #statistics: A New Statistical Formula for Chinese Text Segmentation Incorporating Contextual Information (YD, TEL, CSGK), pp. 82–89.
PDP-1999-MontoyaGG #algorithm #image #problem: Load balancing for a class of irregular and dynamic problems: region growing image segmentation algorithms (MDGM, CG, IG), pp. 163–169.
SOSP-1999-ChiuehVP #performance: Integrating segmentation and paging protection for safe, efficient and transparent software extensions (TcC, GV, PP), pp. 140–153.
ADL-1998-HauptmannW #detection #video: Story Segmentation and Detection of Commercials in Broadcast News Video (AGH, MJW), pp. 168–179.
ECDL-1998-MahdiCF #using: Improving the Spatial-Temporal Clue Based Segmentation by the Use of Rhythm (WM, LC, DF), pp. 169–181.
ICML-1998-Saul #automation: Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time (LKS), pp. 506–514.
ICPR-1998-AdigaC #image #using: Segmentation of volumetric histo-pathological images by surface following using constrained snakes (PSUA, BBC), pp. 1674–1676.
ICPR-1998-Aviles-Cruz #algorithm #data fusion #probability #using: Unsupervised texture segmentation using stochastic version of the EM algorithm and data fusion (CAC), pp. 1005–1009.
ICPR-1998-Bab-HadiasharS #robust: Robust range segmentation (ABH, DS), pp. 969–971.
ICPR-1998-BadenasP #image #monitoring #sequence: Segmentation based on region-tracking in image sequences for traffic monitoring (JB, FP), pp. 999–1001.
ICPR-1998-BaillardDM: Segmentation of urban scenes from aerial stereo imagery (CB, OD, HM), pp. 1405–1407.
ICPR-1998-BamfordL #analysis: Bayesian analysis of cell nucleus segmentation by a Viterbi search based active contour (PB, BCL), pp. 133–135.
ICPR-1998-DanielssonLY #3d #using: Segmentation of 3D volumes using second derivatives (PED, QL, QZY), pp. 248–251.
ICPR-1998-FlorebySSL #fourier: Deformable Fourier surfaces for volume segmentation in SPECT (LF, KS, LS, ML), pp. 358–360.
ICPR-1998-FrydendalJ #graph #image #using: Segmentation of sugar beets using image and graph processing (IF, RJ), pp. 1697–1699.
ICPR-1998-Gimelfarb #interactive #modelling #question #what: Supervised segmentation by pairwise interactions: do Gibbs models learn what we expect? (GLG), pp. 817–819.
ICPR-1998-GoktepeAYY #image #markov #modelling #random #using: Unsupervised texture based image segmentation by simulated annealing using Markov random field and Potts models (MG, VA, NY, CY), pp. 820–822.
ICPR-1998-GuoYM #analysis #game studies #multi #robust #statistics: Unsupervised segmentation based on multi-resolution analysis, robust statistics and majority game theory (GG, SY, SM), pp. 799–801.
ICPR-1998-HaindlZ #image #performance: Fast segmentation of planar surfaces in range images (MH, PZ), pp. 985–987.
ICPR-1998-HameyYWS #identification #image #preprocessor #self: Pre-processing colour images with a self-organising map: baking curve identification and bake image segmentation (LGCH, JCHY, TW, SKYS), pp. 1771–1775.
ICPR-1998-HanKKL #network #probability: Temporal segmentation and selective attention in the stochastic oscillator neural network (SKH, WSK, HK, SWL), pp. 259–261.
ICPR-1998-HuetP98a #classification #fuzzy #image #multi: Fusion of images after segmentation by various operators and interpretation by a multi-scale fuzzy classification (FH, SP), pp. 1843–1845.
ICPR-1998-HuotHB #image: Segmentation of temporal effects on phasimetric SAR images (EGH, IH, DB), pp. 1390–1392.
ICPR-1998-KamathKDD #image #markov #modelling #using: Joint segmentation and image interpretation using hidden Markov models (NK, KSK, UBD, RD), pp. 1840–1842.
ICPR-1998-KogaKSF #analysis #using: Segmentation of Japanese handwritten characters using peripheral feature analysis (MK, TK, HS, HF), pp. 1137–1141.
ICPR-1998-KruizingaP: Grating cell operator features for oriented texture segmentation (PK, NP), pp. 1010–1014.
ICPR-1998-LuC: Wold features for unsupervised texture segmentation (CSL, PCC), pp. 1689–1693.
ICPR-1998-LuKB #3d #image #re-engineering: Image segmentation and image matching for 3D terrain reconstruction (YL, KK, MB), pp. 1535–1537.
ICPR-1998-MaedaNMSS #fuzzy #image #using: Fuzzy region-growing segmentation of natural images using local fractal dimension (JM, SN, AM, SS, YS), pp. 991–993.
ICPR-1998-OngM #robust #using: Robust color segmentation using the dichromatic reflection model (CKO, TM), pp. 780–784.
ICPR-1998-RodriguezMNZMP98a: Segmentation of low-quality typewritten digits (CR, JM, MN, AZ, JIM, JMP), pp. 1106–1109.
ICPR-1998-SeemannT #image #using: Structure preserving noise filtering of images using explicit local segmentation (TS, PET), pp. 1610–1612.
ICPR-1998-Sluzek #multi #using: Multi-level contour segmentation using multiple segmentation primitives (AS), pp. 741–743.
ICPR-1998-SmithL #using: Texture segmentation using zero crossings information (GS, DL), pp. 262–264.
ICPR-1998-TofaniK #image: Segmentation of text from color map images (PT, RK), pp. 945–947.
ICPR-1998-TsengTL #image #multi: Unsupervised texture segmentation for multispectral remote-sensing images (DCT, HMT, CCL), pp. 1630–1632.
ICPR-1998-Visa #algorithm #image #search-based: A genetic algorithm based method to improve image segmentation (AV), pp. 1015–1017.
ICPR-1998-WilliamsA #image: Segmentation of natural images for CBIR (PSW, MDA), pp. 468–470.
ICPR-1998-YahiaB #set: Segmentation of deformable templates with level sets characterized by particle systems (HMY, JPB), pp. 1421–1423.
ICPR-1998-ZhangB #algorithm #image #modelling: A deformable model-based image segmentation algorithm for shapes with corners (ZZ, MB), pp. 392–394.
ICPR-1998-ZhugeTLHD #analysis #image #interactive #programming: An interactive image segmentation method based on dynamic programming and its application in medical image analysis (YZ, JT, NL, ZH, RD), pp. 1558–1560.
STOC-1998-KleinbergPR #problem: Segmentation Problems (JMK, CHP, PR), pp. 473–482.
ECDL-1997-PonteC #topic: Text Segmentation by Topic (JMP, WBC), pp. 113–125.
ICDAR-1997-AnquetilL #problem: Perceptual Model of Handwriting Drawing Application to the Handwriting Segmentation Problem (ÉA, GL), p. 112–?.
ICDAR-1997-DoriW #algorithm: Arc Segmentation from Complex Line Environments: A Vector-Based Stepwise Recovery Algorithm (DD, LW), pp. 76–80.
ICDAR-1997-EglinE #development #documentation #grid #visual notation: Logarithmic Spiral Grid and Gaze Control for the Development of Strategies of Visual Segmentation on a Document (VE, HE), pp. 689–692.
ICDAR-1997-JainY #documentation #using: Page Segmentation Using Document Model (AKJ, BY), pp. 34–38.
ICDAR-1997-JingboXT #analysis: Segmentation of Stick Text Based on Sub Connected Area Analysis (JG, XL, ZT), p. 417–?.
ICDAR-1997-LiuHS #recognition #robust: Robust Stroke Segmentation Method for Handwritten Chinese Character Recognition (KL, YSH, CYS), p. 211–?.
ICDAR-1997-MotawaAS: Segmentation of Arabic Cursive Script (DM, AA, RS), pp. 625–628.
ICDAR-1997-OzdilV #recognition: Optical Character Recognition Without Segmentation (MAÖ, FTYV), pp. 483–486.
ICDAR-1997-Zuyev #image: Table Image Segmentation (KZ), pp. 705–708.
ICPR-1996-AdigaCR #automation #image: Semi-automatic segmentation of tissue cells from confocal microscope images (PSUA, BBC, KR), pp. 494–497.
ICPR-1996-AmaraBCWML #estimation #parametricity #recursion: A recursive estimation of parameters of straight lines and circles: application to the segmentation of the Rey’s Complex Figure (MA, DdB, PC, PW, CM, YL), pp. 467–471.
ICPR-1996-BhattacharyaCP #set: An MLP-based texture segmentation technique which does not require a feature set (UB, BBC, SKP), pp. 805–809.
ICPR-1996-BigunBM #image #retrieval: Orientation radiograms for image retrieval: an alternative to segmentation (JB, SKB, SM), pp. 346–350.
ICPR-1996-CarevicC #adaptation: Adaptive Gabor filters for texture segmentation (DC, TC), pp. 606–610.
ICPR-1996-CourtneyA #image #multi #using: Segmentation of volume images using a multiscale transform (TC, NA), pp. 432–436.
ICPR-1996-CoxRZ #image #quote: “Ratio regions”: a technique for image segmentation (IJC, SR, YZ), pp. 557–564.
ICPR-1996-CuiW #recognition: View-based hand segmentation and hand-sequence recognition with complex backgrounds (YC, J(W), pp. 617–621.
ICPR-1996-DePieroT #adaptation #image #kernel #realtime #using: Real-time range image segmentation using adaptive kernels and Kalman filtering (FWD, MMT), pp. 573–577.
ICPR-1996-DeruyverH #automation #image #multi #using: Automatic multi-thresholdable image segmentation by using separating bipoints (AD, YH), pp. 457–461.
ICPR-1996-DucSB #automation #clustering #fuzzy: Motion segmentation by fuzzy clustering with automatic determination of the number of motions (BD, PS, JB), pp. 376–380.
ICPR-1996-DugelayGA #multi: Segmentation of multibeam acoustic imagery in the exploration of the deep sea-bottom (SD, CG, JMA), pp. 437–446.
ICPR-1996-Gimelfarb96a #modelling #simulation: Gibbs models for Bayesian simulation and segmentation of piecewise-uniform textures (GLG), pp. 760–764.
ICPR-1996-GoktepeYA #markov: Unsupervised segmentation of gray level Markov model textures with hierarchical self organizing maps (MG, NY, VA), pp. 90–94.
ICPR-1996-HennebertRB #2d #approach: A hierarchical approach for scene segmentation based on 2D motion (CH, VR, PB), pp. 218–222.
ICPR-1996-HepplewhiteS96a: Unsupervised texture segmentation by Hebbian learnt cortical cells (LH, TJS), pp. 381–385.
ICPR-1996-IdoATS: Stimulus-driven segmentation by Gaussian functions (SI, SA, RT, MS), pp. 487–491.
ICPR-1996-IivarinenRV #fault: Unsupervised segmentation of surface defects (JI, JR, AV), pp. 356–360.
ICPR-1996-KimGS #recognition: A segmentation and recognition strategy for handwritten phrases (GK, VG, SNS), pp. 510–514.
ICPR-1996-KiseYT: Page segmentation based on thinning of background (KK, OY, ST), pp. 788–792.
ICPR-1996-KlemencicPK #diagrams #image #modelling #using: Segmentation of muscle fibre images using Voronoi diagrams and active contour models (AK, FP, SK), pp. 538–542.
ICPR-1996-Koch #3d #image #modelling: Surface segmentation and modeling of 3D polygonal objects from stereoscopic image pairs (RK), pp. 233–237.
ICPR-1996-KochM #image: Bootstrap coverage plots for image segmentation (IK, GM), pp. 447–451.
ICPR-1996-KropatschY: A revision of pyramid segmentation (WGK, SBY), pp. 477–481.
ICPR-1996-LeTW #adaptation #automation #detection #documentation #image: Automated borders detection and adaptive segmentation for binary document images (DXL, GRT, HW), pp. 737–741.
ICPR-1996-LiuTHS #adaptation #algorithm #documentation #geometry: Adaptive document segmentation and geometric relation labeling: algorithms and experimental results (JL, YYT, QH, CYS), pp. 763–767.
ICPR-1996-MariD #clustering #fuzzy: A segmentation method based on fuzzy topology and clustering (MM, SGD), pp. 565–569.
ICPR-1996-NamuduriRR #algorithm #image #named #slicing #using: SVBS: a high-resolution medical image compression algorithm using slicing with variable block size segmentation (KRN, NR, HR), pp. 919–923.
ICPR-1996-NewmanTBC #image: A volumetric segmentation technique for diagnosis and surgical planning in lower torso CT images (TSN, NT, SLB, PLC), pp. 553–557.
ICPR-1996-NodaSK #image #modelling: An MRF model-based method for unsupervised textured image segmentation (HN, MNS, EK), pp. 765–769.
ICPR-1996-OlivierMRL #word: Segmentation and coding of Arabic handwritten words (CO, HM, KRP, YL), pp. 264–268.
ICPR-1996-PlamondonG #question #why: Why handwriting segmentation can be misleading? (RP, WG), pp. 396–400.
ICPR-1996-SammondaNN #convergence #image #network: Hopfield neural network with prespecified time convergence for the segmentation of brain MR images (RS, NN, HN), pp. 462–471.
ICPR-1996-SilvaCS #3d: 3-D data acquisition and scene segmentation system (JAS, AJCC, JCMdS), pp. 563–567.
ICPR-1996-Smith96a #3d #realtime: Integrated real-time motion segmentation and 3D interpretation (SMS), pp. 49–55.
ICPR-1996-SmitsD #adaptation #approach #image #markov #random #using: Information fusion in a Markov random field-based image segmentation approach using adaptive neighbourhoods (PCS, SGD), pp. 570–575.
ICPR-1996-SziranyiC #network: Picture segmentation with introducing an anisotropic preliminary step to an MRF model with cellular neural networks (TS, LC), pp. 366–370.
ICPR-1996-WatzelBHZS: Restoration of dendrites and spines with the objective of topologically correct segmentation (RW, KB, AH, WZ, HS), pp. 472–476.
ICPR-1996-WegnerHOF #graph #image: The watershed transformation on graphs for the segmentation of CT images (SW, TH, HO, EF), pp. 498–502.
ICPR-1996-WuL #3d #using: 3D part segmentation using simulated electrical charge distributions (KW, MDL), pp. 14–18.
ICPR-1996-XuT #geometry #multi: Correspondence and segmentation of multiple rigid motions via epipolar geometry (GX, ST), pp. 213–217.
ICPR-1996-YeungY #clustering #video: Time-constrained clustering for segmentation of video into story units (MMY, BLY), pp. 375–380.
ICPR-1996-YimBA #using: Bayesian range segmentation using focus cues (CY, ACB, JKA), pp. 482–486.
ICPR-1996-YminA #multi #on the: On the segmentation of multi-font printed Uygur scripts (AY, YA), pp. 215–219.
ICPR-1996-Zhao0C #image: Simplified Gaussian and mean curvatures to range image segmentation (CZ, DZ, YC), pp. 427–431.
ICDAR-v1-1995-ArikiM #recognition #using: Segmentation and recognition of handwritten characters using subspace method (YA, YM), pp. 120–123.
ICDAR-v1-1995-GaoTWT #recognition: Segmentation and recognition of dimension texts in engineering drawings (JG, LT, LW, ZT), p. 528–?.
ICDAR-v1-1995-LeeL #network #recognition: Integrated segmentation and recognition of connected handwritten characters with recurrent neural network (SWL, EJL), pp. 413–416.
ICDAR-v1-1995-LeeL95a #recognition: A new methodology for gray-scale character segmentation and recognition (DJL, SWL), pp. 524–527.
ICDAR-v1-1995-Ozaki #pattern matching: Column segmentation by white space pattern matching (MO), pp. 134–137.
ICDAR-v2-1995-AzoklyI #documentation #layout: A language for document generic layout description and its use for segmentation into regions (AA, RI), pp. 1123–1126.
ICDAR-v2-1995-CaseyL #bibliography: Strategies in character segmentation: a survey (RGC, EL), pp. 1028–1033.
ICDAR-v2-1995-ChenHP #documentation #image #recursion #using #word: Simultaneous word segmentation from document images using recursive morphological closing transform (SSC, RMH, ITP), pp. 761–764.
ICDAR-v2-1995-CongedoDIP95a #string: Segmentation of numeric strings (GC, GD, SI, GP), pp. 1038–1041.
ICDAR-v2-1995-DeforgesB #detection #documentation #image #multi #performance #robust: Segmentation of Complex Documents Multilevel Images: A Robust and Fast Text Bodies-Headers Detection and Extraction Scheme 770 (OD, DB), pp. 770–773.
ICDAR-v2-1995-FanLW #approach #clustering #documentation: A feature point clustering approach to the segmentation of form documents (KCF, JML, JYW), pp. 623–626.
ICDAR-v2-1995-FischerAD: Segmentation of the Yellow Pages (SF, AA, DD), pp. 605–609.
ICDAR-v2-1995-HanS95a: Off-line cursive handwriting segmentation (KH, IKS), pp. 894–897.
ICDAR-v2-1995-LeplumeyCQ #documentation #towards: Kalman filter contributions towards document segmentation (IL, JC, CQ), pp. 765–769.
ICDAR-v2-1995-LiangAS #approach #using: Segmentation of interference marks using morphological approach (SL, MA, MS), pp. 1042–1046.
ICDAR-v2-1995-LuT #word: Gray scale filtering for line and word segmentation (YL, ACT), pp. 648–651.
ICDAR-v2-1995-NajouaN #approach #robust: A robust approach for Arabic printed character segmentation (NEBA, NE), pp. 865–868.
ICDAR-v2-1995-NegiSA #approach #word: A correspondence based approach to segmentation of cursive words (AN, KSS, AA), pp. 1034–1037.
ICDAR-v2-1995-Romeo-PakkerML #approach: A new approach for Latin/Arabic character segmentation (KRP, HM, YL), pp. 874–877.
ICDAR-v2-1995-SauvolaP #analysis #classification #feature model #performance #using: Page segmentation and classification using fast feature extraction and connectivity analysis (JJS, MP), pp. 1127–1131.
ICDAR-v2-1995-SylwesterS #algorithm: A trainable, single-pass algorithm for column segmentation (DS, SCS), pp. 615–618.
ICDAR-v2-1995-TsengLT #image: Circular histogram thresholding for color image segmentation (DCT, YFL, CTT), pp. 673–676.
ICDAR-v2-1995-WangHR #recognition: A shape band-pass filter for character recognition and texture segmentation (DW, VHC, JR), pp. 681–684.
ICDAR-v2-1995-WehbiOLP #recognition: Numeral characters and capital letters segmentation recognition in mixed handwriting context (HW, HO, JL, EP), pp. 878–881.
ICDAR-v2-1995-YanikogluV #benchmark #documentation #metric: Ground-truthing and benchmarking document page segmentation (BAY, LV), pp. 601–604.
DAC-1995-FarrahiTS #memory management: Memory Segmentation to Exploit Sleep Mode Operation (AHF, GET, MS), pp. 36–41.
PDP-1995-AnconaB #algorithm #documentation #parallel: A parallel algorithm for “document segmentation” (MA, MDB), pp. 516–521.
ICDAR-1993-AkindeleB: Page segmentation by segment tracing (OTA, AB), pp. 341–344.
ICDAR-1993-AmamotoTH #documentation: Block segmentation and text area extraction of vertically/horizontally written document (NA, ST, YH), pp. 739–742.
ICDAR-1993-BayerK #classification: Cut classification for segmentation (TAB, UK), pp. 565–568.
ICDAR-1993-ChangCDHK: Stroke segmentation as a basis for structural matching of Chinese characters (FC, YCC, HSD, WLH, CIK), pp. 35–40.
ICDAR-1993-Chen: Primitives segmentation and association for a line character (YSC), pp. 23–26.
ICDAR-1993-CullenE #documentation #image: Weak model-dependent page segmentation and skew correction for processing document images (JFC, KE), pp. 757–760.
ICDAR-1993-HaoWN #analysis #approach #classification #documentation #layout: Nested segmentation: an approach for layout analysis in document classification (XH, JTLW, PAN), pp. 319–322.
ICDAR-1993-Hirayama #documentation #image: A block segmentation method for document images with complicated column structures (YH), pp. 91–94.
ICDAR-1993-ImadeTW #classification #documentation #image #network #using: Segmentation and classification for mixed text/image documents using neural network (SI, ST, TW), pp. 930–934.
ICDAR-1993-KuoW: A new method for the segmentation of mixed handprinted Chinese/English characters (HHK, JFW), pp. 810–813.
ICDAR-1993-LiangAS #documentation #recognition: Segmentation of touching characters in printed document recognition (SL, MA, MS), pp. 569–572.
ICDAR-1993-Lu #on the: On the segmentation of touching characters (YL), pp. 440–443.
ICDAR-1993-MachiiFN #online: On-line text/drawings segmentation of handwritten patterns (KM, HF, MN), pp. 710–713.
ICDAR-1993-OkamotoT #hybrid: A hybrid page segmentation method (MO, MT), pp. 743–746.
ICDAR-1993-PowalkaSEW #interactive #multi #recognition #word: Multiple word segmentation with interactive look-up for cursive script recognition (RKP, NS, LJE, RJW), pp. 196–199.
ICDAR-1993-SaitohTY #documentation #image: Document image segmentation and text area ordering (TS, MT, TY), pp. 323–329.
ICDAR-1993-StrathySK #using: Segmentation of handwritten digits using contour features (NWS, CYS, AK), pp. 577–580.
ICDAR-1993-TsuruokaKMSC #recognition: Segmentation and recognition for handwritten 2-letter state names (ST, FK, YM, MS, ZC), pp. 814–817.
ICDAR-1993-Yan93a #classification #image #nearest neighbour #using: Color map image segmentation using optimized nearest neighbor classifiers (HY), pp. 111–114.
HCI-SHI-1993-KrishnanM: Segmentation of Handwritten Text and Editing-Symbols from Ink-Data (SNK, SM), pp. 1010–1015.
SAC-1993-WangJ #network: Segmentation of Merged Characters by Neural Networks and Shortest-Path (JW, JSNJ), pp. 762–769.
SOSP-1969-Kernighan #source code: Optimal segmentation points for programs (BWK), pp. 47–53.