Stem background$ (all stems)

132 papers:

DRR-2015-Fan0N #documentation #image #performance

Separation of text and background regions for high performance document image compression (WF, JS, SN).

SAC-2015-JavedSBJ #feature model #robust

OR-PCA with dynamic feature selection for robust background subtraction (SJ, AS, TB, SKJ), pp. 86–91.

ICSE-v1-2015-PanW0G #analysis #javascript

Gray Computing: An Analysis of Computing with Background JavaScript Tasks (YP, JW, YS, JG), pp. 167–177.

DRR-2014-KumarWG #documentation #keyword

Variational dynamic background model for keyword spotting in handwritten documents (GK, SW, VG), pp. 902104–9.

DUXU-ELAS-2014-YangHH

The Impact of Media and Background Color on Handwriting (CYY, WLH, TYCH), pp. 173–183.

ICML-c2-2014-Ben-DavidH #clustering

Clustering in the Presence of Background Noise (SBD, NH), pp. 280–288.

ICPR-2014-Ahn #adaptation #online #performance #robust

Fast Adaptive Robust Subspace Tracking for Online Background Subtraction (JHA), pp. 2555–2559.

ICPR-2014-GeDGC #learning

Background Subtraction with Dynamic Noise Sampling and Complementary Learning (WG, YD, ZG, YC), pp. 2341–2346.

ICPR-2014-GiordanoPS #estimation #kernel #modelling #using

Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling (DG, SP, CS), pp. 4388–4393.

ICPR-2014-SetitraL #algorithm #bibliography #perspective

Background Subtraction Algorithms with Post-processing: A Review (IS, SL), pp. 2436–2441.

ICPR-2014-ZamalievaYD #geometry

Exploiting Temporal Geometry for Moving Camera Background Subtraction (DZ, AY, JWD), pp. 1200–1205.

DRR-2013-KumarWGS #framework #keyword #using

Segmentation-free keyword spotting framework using dynamic background model (GK, SW, VG, RS).

KDIR-KMIS-2013-KolerovaOB #case study #clustering #industrial

Information and Knowledge Sharing in Industrial Clusters — Theoretical Background and a Case Study (KK, TO, VB), pp. 457–463.

DRR-2012-ChandaFP #clustering #documentation #using

Clustering document fragments using background color and texture information (SC, KF, UP).

ICPR-2012-HsuNWC #component #using

Pedestrian tracking in low contrast regions using aggregated background model and Silhouette Components (GSH, HPN, CHW, SLC), pp. 3680–3683.

ICPR-2012-ShiT

Background subtraction via early recurrence in dynamic scenes (XS, JKT), pp. 3172–3175.

ICPR-2012-ZhangGYG #generative #online #parametricity #video

Nonparametric on-line background generation for surveillance video (RZ, WG, AY, MG), pp. 1177–1180.

SAC-2012-OmoteCSKEM #encryption

Hypervisor-based background encryption (YO, YC, TS, TK, HE, KM), pp. 1829–1836.

HIMI-v2-2011-SwierengaADP #design

Real-World User-Centered Design: The Michigan Workforce Background Check System (SJS, FA, TAD, LAP), pp. 325–334.

CIKM-2011-HeRSOQ #case study #generative #using

Generating links to background knowledge: a case study using narrative radiology reports (JH, MdR, MS, RCvO, YQ), pp. 1867–1876.

DATE-2010-PomeranzR #requirements #sequence #testing #using

Reducing the storage requirements of a test sequence by using a background vector (IP, SMR), pp. 1237–1242.

CIKM-2010-MinZWM #component #keyword #topic

Decomposing background topics from keywords by principal component pursuit (KM, ZZ, JW, YM), pp. 269–278.

ICPR-2010-AlbarelliRCT #approach #game studies #robust

Robust Figure Extraction on Textured Background: A Game-Theoretic Approach (AA, ER, AC, AT), pp. 360–363.

ICPR-2010-CaseiroHB #modelling #segmentation

Foreground Segmentation via Background Modeling on Riemannian Manifolds (RC, JFH, JB), pp. 3570–3574.

ICPR-2010-FengLYL #online #video

Online Principal Background Selection for Video Synopsis (SF, SL, ZYY, SZL), pp. 17–20.

ICPR-2010-GuoH #using

Cascaded Background Subtraction Using Block-Based and Pixel-Based Codebooks (JMG, CSH), pp. 1373–1376.

ICPR-2010-HanerG #visual notation

Combining Foreground / Background Feature Points and Anisotropic Mean Shift For Enhanced Visual Object Tracking (SH, IYHG), pp. 3488–3491.

ICPR-2010-Kita #modelling

Background Modeling by Combining Joint Intensity Histogram with Time-sequential Data (YK), pp. 991–994.

ICPR-2010-Lei #distance #using #verification

Combining the Likelihood and the Kullback-Leibler Distance in Estimating the Universal Background Model for Speaker Verification Using SVM (ZL), pp. 4553–4556.

ICPR-2010-LettnerS #robust

Combining Spectral and Spatial Features for Robust Foreground-Background Separation (ML, RS), pp. 1969–1972.

ICPR-2010-LiuWZ

Extracting Captions in Complex Background from Videos (XL, WW, TZ), pp. 3232–3235.

ICPR-2010-QinVG #detection #image

Background Filtering for Improving of Object Detection in Images (GQ, BV, LG), pp. 922–925.

ICPR-2010-ReddySL #adaptation #modelling #robust #segmentation

Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling (VR, CS, BCL), pp. 3939–3942.

ICPR-2010-WolfJ

Integrating a Discrete Motion Model into GMM Based Background Subtraction (CW, JMJ), pp. 9–12.

SAC-2010-BelohlavekV #concept analysis #constraints

Background knowledge in formal concept analysis: constraints via closure operators (RB, VV), pp. 1113–1114.

ICDAR-2009-SunK #detection #embedded

Detecting Printed and Handwritten Partial Copies of Line Drawings Embedded in Complex Backgrounds (WS, KK), pp. 341–345.

HCI-AUII-2009-NagelPSHM #interactive #named

mæve — An Interactive Tabletop Installation for Exploring Background Information in Exhibitions (TN, LP, MS, MH, BM), pp. 483–491.

SIGMOD-2008-DuTZ #named #privacy #quantifier

Privacy-MaxEnt: integrating background knowledge in privacy quantification (WD, ZT, ZZ), pp. 459–472.

ITiCSE-2008-GiangrandiM #student

Enhancing the general background of CS students through a computing history course (PG, CM), pp. 301–305.

ICPR-2008-AmatoMHGV

Background subtraction technique based on chromaticity and intensity patterns (AA, MM, IHC, JG, JV), pp. 1–4.

ICPR-2008-BenezethJELR #algorithm #bibliography #evaluation

Review and evaluation of commonly-implemented background subtraction algorithms (YB, PMJ, BE, HL, CR), pp. 1–4.

ICPR-2008-HaqueMP #adaptation #detection #generative #multi #robust

Improved Gaussian mixtures for robust object detection by adaptive multi-background generation (MH, MMM, MP), pp. 1–4.

ICPR-2008-IzadiS #robust #using

Robust region-based background subtraction and shadow removing using color and gradient information (MI, PS), pp. 1–5.

ICPR-2008-OrtegaGJV #modelling

Background modelling in demanding situations with confidence measure (JARO, GAG, ÁRJ, VLAV), pp. 1–4.

ICPR-2008-RothausRJ #3d

Synthesizing 3D videos by a motion-conditioned background mosaic (SR, KR, XJ), pp. 1–4.

ICPR-2008-ShafaitBKB #analysis #layout #modelling #statistics #variability

Background variability modeling for statistical layout analysis (FS, JvB, DK, TMB), pp. 1–4.

ICPR-2008-SinhaGM #modelling #robust

Back to the future: Robust foreground extraction with reversed-time background modeling (AKS, PG, AM), pp. 1–4.

ICPR-2008-TavakkoliNBN #incremental #modelling #performance

Efficient background modeling through incremental Support Vector Data Description (AT, MN, GB, MNN), pp. 1–4.

ICPR-2008-YuHL #modelling

Double-edge-model based character stroke extraction from complex backgrounds (JY, LH, CL), pp. 1–4.

ICPR-2008-ZhangGZ #detection #modelling

Complex background modeling and motion detection based on Texture Pattern Flow (BZ, YG, BZ), pp. 1–4.

ICPR-2008-ZhangYLCG

A covariance-based method for dynamic background subtraction (SZ, HY, SL, XC, WG), pp. 1–4.

ICPR-2008-ZhaoGLJ #learning #modelling

Spatio-temporal patches for night background modeling by subspace learning (YZ, HG, LL, YJ), pp. 1–4.

ICPR-2008-ZhongYSCG #clustering #using

Hierarchical background subtraction using local pixel clustering (BZ, HY, SS, XC, WG), pp. 1–4.

SAC-2008-BelohlavekV #concept analysis #dependence

Adding background knowledge to formal concept analysis via attribute dependency formulas (RB, VV), pp. 938–943.

ICDAR-2007-PanBS #segmentation #using

Text Segmentation from Complex Background Using Sparse Representations (WP, TDB, CYS), pp. 412–416.

SAC-2007-BoussellaaZA #hybrid #using

A methodology for the separation of foreground/background in Arabic historical manuscripts using hybrid methods (WB, AZ, AMA), pp. 605–609.

ICPR-v1-2006-HuaWCW #algorithm

A Pixel-wise Object Tracking Algorithm with Target and Background Sample (CH, HW, QC, TW), pp. 739–742.

ICPR-v1-2006-KoTSH #image #learning #segmentation

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-TavakkoliNB #detection #learning #recursion #robust

Robust Recursive Learning for Foreground Region Detection in Videos with Quasi-Stationary Backgrounds (AT, MN, GB), pp. 315–318.

ICPR-v1-2006-WangS #robust

Background Subtraction Based on a Robust Consensus Method (HW, DS), pp. 223–226.

ICPR-v1-2006-WanH #adaptation

Adaptive, Region-based, Layered Background Model for Target Tracking (MW, JYH), pp. 803–807.

ICPR-v2-2006-AhnKB #estimation #graph #robust #segmentation #using

Robust Object Segmentation Using Graph Cut with Object and Background Seed Estimation (JHA, KCK, HB), pp. 361–364.

ICPR-v2-2006-KimYK #robust

Background Robust Object Labeling by Voting of Weight-Aggregated Local Features (SK, KJY, ISK), pp. 219–222.

ICPR-v2-2006-RaoDX #modelling #programming

Joint Correspondence and Background Modeling Based on Tree Dynamic Programming (NIR, HD, GX), pp. 425–428.

ICPR-v3-2006-TamakiSY #string

String-Like Occluding Region Extraction for Background Restoration (TT, HS, MY), pp. 615–618.

ICPR-v3-2006-YoshimuraIY #adaptation #correlation #detection

Object Detection with Adaptive Background Model and Margined Sign Cross Correlation (HY, YI, MY), pp. 19–23.

ICPR-v4-2006-JinW #music #speech

Speech Separation from Background of Music Based on Single-channel Recording (XCJ, ZFW), pp. 278–281.

ICPR-v4-2006-LiuYGCZ #generative #parametricity

Nonparametric Background Generation (YL, HY, WG, XC, DZ), pp. 916–919.

ICPR-v4-2006-MoncrieffVW #modelling #using

Unifying Background Models over Complex Audio using Entropy (SM, SV, GAWW), pp. 249–253.

DRR-2005-ShiG #documentation #image #normalisation #segmentation #using

Historical document image segmentation using background light intensity normalization (ZS, VG), pp. 167–174.

ICDAR-2005-GarainPH #documentation #image #on the #quality

On Foreground-Background Separation in Low Quality Color Document Images (UG, TP, LH), pp. 585–589.

SAC-2005-CanforaCGPV #education

Confirming the influence of educational background in pair-design knowledge through experiments (GC, AC, FG, MP, CAV), pp. 1478–1484.

DATE-v1-2004-GinesPR #fault #pipes and filters

Digital Background Gain Error Correction in Pipeline ADCs (AJG, EJP, AR), pp. 82–87.

ICPR-v1-2004-KusachiSIA #detection #image #recognition #robust

Kanji Recognition in Scene Images without Detection of Text Fields — Robust Against Variation of Viewpoint, Contrast, and Background Texture (YK, AS, NI, KA), pp. 457–460.

ICPR-v1-2004-ShiG #documentation #image #normalisation #using

Historical Document Image Enhancement Using Background Light Intensity Normalization (ZS, VG), pp. 473–476.

ICPR-v1-2004-TsaiHSST

Background Removal System for Object Movies (YPT, YPH, ZCS, JJS, SRT), pp. 608–611.

ICPR-v1-2004-WithagenSG #classification #probability

Probabilistic Classification Between Foreground Objects and Background (PJW, KS, FCAG), pp. 31–34.

ICPR-v2-2004-CristaniBM #adaptation #modelling #online

On-Line Adaptive Background Modelling for Audio Surveillance (MC, MB, VM), pp. 399–402.

ICPR-v2-2004-ZangK #maintenance #robust

Robust Background Subtraction and Maintenance (QZ, RK), pp. 90–93.

ICPR-v2-2004-Zivkovic #adaptation

Improved Adaptive Gaussian Mixture Model for Background Subtraction (ZZ), pp. 28–31.

ICPR-v3-2004-RamstromC #detection #using

Object Detection using Background Context (OR, HIC), pp. 45–48.

ICPR-v4-2004-RennaCMAD04a

Virtual Recomposition of Frescos: Separating Fragments from the Background (FR, GC, NM, GA, AD), pp. 819–822.

KDD-2004-JaroszewiczS #network #using

Interestingness of frequent itemsets using Bayesian networks as background knowledge (SJ, DAS), pp. 178–186.

DATE-2003-BeeckGBMCD #data transformation #implementation #power management #realtime

Background Data Organisation for the Low-Power Implementation in Real-Time of a Digital Audio Broadcast Receiver on a SIMD Processor (POdB, CG, EB, MM, FC, GD), pp. 11144–11145.

ICDAR-2003-KiseMM #documentation #integration #towards

Stippling Data on Backgrounds of Pages — Toward Seamless Integration of Paper and Electronic Documents (KK, YM, KM), pp. 1213–1217.

ICDAR-2003-LeedhamYTTM #algorithm #comparison #documentation #image #segmentation

Comparison of Some Thresholding Algorithms for Text/Background Segmentation in Difficult Document Images (GL, YC, KT, JHNT, LM), p. 859–?.

ICDAR-2003-XiL #documentation

Reference Line Extraction from Form Documents with Complicated Backgrounds (DX, SWL), p. 1080–?.

ICPR-v1-2002-ArakiSS #detection

Detection of Faces of Various Directions in Complex Backgrounds (YA, NS, YS), pp. 409–412.

ICPR-v1-2002-LamarreC #modelling #using

Background Subtraction Using Competing Models in the Block-DCT Domain (ML, JJC), pp. 299–302.

ICPR-v2-2002-BaekD #analysis

Factor Analysis or Background Suppression (KB, BAD), pp. 643–646.

ICPR-v3-2002-GotoA #documentation

Character Pattern Extraction from Colorful Documents with Complex Backgrounds (HG, HA), pp. 180–183.

ICPR-v3-2002-SinghR #learning #recognition #robust

Background Learning for Robust Face Recognition (RKS, ANR), pp. 525–528.

ICPR-v4-2002-ChenOB #markov #random #recognition #segmentation

Text Segmentation and Recognition in Complex Background Based on Markov Random Field (DC, JMO, HB), pp. 227–230.

ICSE-2002-ErdogmusBHRS #re-engineering

Software engineering economics: background, current practices, and future directions (MHE, BWB, WH, DJR, KJS), pp. 683–684.

OSDI-2002-VenkataramaniKD

TCP Nice: A Mechanism for Background Transfers (AV, RK, MD), pp. 329–343.

ICDAR-2001-JinT #composition #locality #using

Text Area Localization under Complex-Background Using Wavelet Decomposition (NJ, YYT), pp. 1126–1130.

ICDAR-2001-WangHP #automation #generative

Automatic Table Ground Truth Generation and a Background-Analysis-Based Table Structure Extraction Method (YW, RMH, ITP), pp. 528–532.

CHI-2001-DuhPF #independence #visual notation

An “independent visual background” reduced balance disturbance envoked by visual scene motion: implication for alleviating simulator sickness (HBLD, DEP, TAF), pp. 85–89.

CIKM-2001-ZelikovitzH #classification #using

Using LSI for Text Classification in the Presence of Background Text (SZ, HH), pp. 113–118.

ICML-2001-WagstaffCRS #clustering

Constrained K-means Clustering with Background Knowledge (KW, CC, SR, SS), pp. 577–584.

ICPR-v1-2000-MegretSK

Background Mosaic from Egomotion (RM, CS, WGK), pp. 1571–1574.

ICPR-v1-2000-SelingerN #recognition

Improving Appearance-Based Object Recognition in Cluttered Backgrounds (AS, RCN), pp. 1046–1050.

ICPR-v2-2000-ChenW #analysis #segmentation #string #using

Segmentation of Handwritten Connected Numeral String Using Background and Foreground Analysis (YKC, JFW), pp. 2598–2601.

ICPR-v2-2000-GiacconeTJ #network #segmentation

Foreground-Background Segmentation by Cellular Neural Networks (PRG, DT, GAJ), pp. 2438–2441.

ICPR-v3-2000-VriesV #3d #adaptation #classification #detection #estimation #image

Scale-Adaptive Landmark Detection, Classification and Size Estimation in 3D Object-Background Images (RGdV, PWV), pp. 7026–7029.

ICPR-v4-2000-HaritaogluHD #maintenance #modelling #performance

A Fast Background Scene Modeling and Maintenance for Outdoor Surveillance (IH, DH, LSD), pp. 4179–4183.

ICPR-v4-2000-KiseMM #documentation

Backgrounds as Information Carriers for Printed Documents (KK, YM, KM), pp. 4380–4384.

SAC-2000-SakureiTO #self

Effect of Background Knowledge in a Task Model Self-organization Method (SS, HT, RO), pp. 20–27.

CSL-2000-BlassG

Background, Reserve, and Gandy Machines (AB, YG), pp. 1–17.

ICDAR-1999-NegishiKHW #automation

Character Extraction from Noisy Background for an Automatic Reference System (HN, JK, HH, TW), pp. 143–146.

ICDAR-1999-YeCS #modelling

Model-based Character Extraction from Complex Backgrounds (XY, MC, CYS), pp. 511–514.

ICEIS-1999-Lu #database #modelling #parallel #performance #predict #process

Modelling Background Processes in Parallel Database Systems for Performance Prediction (KJL), pp. 101–108.

ICPR-1998-HuangSLW #approach #detection #image #robust

A robust approach to face and eyes detection from images with cluttered background (WH, QS, CPL, JKW), pp. 110–113.

ICPR-1998-IketaniNKS #detection

Detecting persons on changing background (AI, AN, YK, YS), pp. 74–76.

ICDAR-1997-Antonacopoulos #estimation

Local Skew Angle Estimation from Background Space in Text Regions (AA), pp. 684–688.

ICDAR-1997-AraiO #analysis

Form Processing based on Background Region Analysis (HA, KO), pp. 164–169.

CIKM-1996-HanP #algorithm #mining

Background for Association Rules and Cost Estimate of Selected Mining Algorithms (JLH, AWP), pp. 73–80.

ICML-1996-Hekanaho #concept #learning

Background Knowledge in GA-based Concept Learning (JH), pp. 234–242.

ICPR-1996-Ali #detection #documentation #image

Background noise detection and cleaning in document images (MBHA), pp. 758–762.

ICPR-1996-CuiW #recognition #segmentation

View-based hand segmentation and hand-sequence recognition with complex backgrounds (YC, J(W), pp. 617–621.

ICPR-1996-HuangDMN #image #representation

Segmenting and representing background in color images (QH, BD, NM, WN), pp. 13–17.

ICPR-1996-KiseYT #segmentation

Page segmentation based on thinning of background (KK, OY, ST), pp. 788–792.

ICPR-1996-MaeSMK

Object tracking in cluttered background based on optical flow and edges (YM, YS, JM, YK), pp. 196–200.

ICPR-1996-WadaM

Appearance sphere: background model for pan-tilt-zoom camera (TW, TM), pp. 718–722.

KDD-1996-AronisPB #automation

Exploiting Background Knowledge in Automated Discovery (JMA, FJP, BGB), pp. 355–358.

KDD-1996-FeldmanH #mining

Mining Associations in Text in the Presence of Background Knowledge (RF, HH), pp. 343–346.

ICDAR-v2-1995-TangMXCS #documentation #using

Extraction of reference lines from documents with grey-level background using sub-images of wavelets (YYT, HM, DX, YC, CYS), pp. 571–574.

KDD-1994-AronisP #induction #machine learning #relational

Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning (JMA, FJP), pp. 347–358.

SAC-1994-RitschelPG #classification #multi #rating

Rating of pattern classifications in multi-layer perceptrons: theoretical background and practical results (WR, TP, RG), pp. 142–144.

ICDAR-1993-OzawaN #image

A character image enhancement method from characters with various background images (HO, TN), pp. 58–61.

HCI-ACS-1993-Carling #modelling #performance

Performance, Mental Models and Background Knowledge in Mastering a Simulated Dynamic System (EC), pp. 599–604.

ML-1991-ThompsonLI #concept #using

Using Background Knowledge in Concept Formation (KT, PL, WI), pp. 554–558.