65 papers:
ICPC-2013-TrumperDT #comparison #execution #multi #visual notation- Multiscale visual comparison of execution traces (JT, JD, ACT), pp. 53–62.
ICML-c3-2013-HerlauMS #evolution #modelling #multi #network- Modeling Temporal Evolution and Multiscale Structure in Networks (TH, MM, MNS), pp. 960–968.
CHI-2012-JavedGE #2d #multi #named #visual notation- Polyzoom: multiscale and multifocus exploration in 2d visual spaces (WJ, SG, NE), pp. 287–296.
- ICML-2012-FarabetCNL #learning #multi #parsing
- Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers (CF, CC, LN, YL), p. 241.
ICDAR-2011-NewellG #multi #recognition #robust- Multiscale Histogram of Oriented Gradient Descriptors for Robust Character Recognition (AJN, LDG), pp. 1085–1089.
- CHI-2011-KaserAP #interactive #multi #named #performance
- FingerGlass: efficient multiscale interaction on multitouch screens (DPK, MA, MP), pp. 1601–1610.
HCD-2011-AndradeTSRB #3d #multi #navigation #testing #usability- Usability Tests for Improvement of 3D Navigation in Multiscale Environments (TMA, DRT, ERS, ABR, SDJB), pp. 481–490.
SAC-2011-TrindadeR #3d #multi #navigation #using- Improving 3D navigation in multiscale environments using cubemap-based techniques (DRT, ABR), pp. 1215–1221.
- ICML-2010-GavishNC #graph #learning #multi #theory and practice
- Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning (MG, BN, RRC), pp. 367–374.
ICPR-2010-Feschet #analysis #composition #geometry #multi #parametricity- Multiscale Analysis from 1D Parametric Geometric Decomposition of Shapes (FF), pp. 2102–2105.
- ICPR-2010-SaidLF #2d #analysis #multi
- Multiscale Analysis of Digital Segments by Intersection of 2D Digital Lines (MS, JOL, FF), pp. 4097–4100.
KDD-2010-IwataYSU #modelling #multi #online #topic- Online multiscale dynamic topic models (TI, TY, YS, NU), pp. 663–672.
- SAC-2010-LevyLMS #bias #identification #multi
- Identification and control of intrinsic bias in a multiscale computational model of drug addiction (YZL, DL, JSM, HTS), pp. 2389–2393.
CASE-2008-TamadazteDFF #automation #multi #using #visual notation- Automatic micromanipulation using multiscale visual servoing (BT, SD, GF, NLFP), pp. 977–982.
- ICML-2008-WalderKS #multi #process
- Sparse multiscale gaussian process regression (CW, KIK, BS), pp. 1112–1119.
- ICPR-2008-TauberRLCDO #automation #image #multi #performance #re-engineering
- Fast and automatic reconstruction of structured illumination microscopy images with multiscale products (CT, PFGR, VL, NC, BD, JCOM), pp. 1–4.
- SAC-2008-CastroS #image #multi #network
- Restoring images with a multiscale neural network based technique (APAdC, JDSdS), pp. 1693–1697.
- ICML-2007-Mahadevan #3d #adaptation #learning #multi #using
- Adaptive mesh compression in 3D computer graphics using multiscale manifold learning (SM), pp. 585–592.
- KDD-2007-NallapatiDLU #multi #topic
- Multiscale topic tomography (RN, SD, JDL, KU), pp. 520–529.
SOFTVIS-2006-VoineaT #evolution #multi #visualisation- Multiscale and multivariate visualizations of software evolution (LV, ACT), pp. 115–124.
- ICML-2006-MaggioniM #analysis #evaluation #markov #multi #performance #policy #process #using
- Fast direct policy evaluation using multiscale analysis of Markov diffusion processes (MM, SM), pp. 601–608.
- ICPR-v2-2006-VanhamelSP #graph #image #multi #segmentation
- Nonlinear Multiscale Graph Theory based Segmentation of Color Images (IV, HS, IP), pp. 407–411.
- ICPR-v3-2006-CharoentamPJ #image #multi #problem #robust
- A Robust Region-Based Multiscale Image Fusion Scheme for Mis-Registration Problem of Thermal and Visible Images (OC, VP, SJ), pp. 669–672.
- ICPR-v3-2006-TaiTT #2d #image #multi
- Simultaneous Image Denoising and Compression by Multiscale 2D Tensor Voting (YWT, WST, CKT), pp. 818–821.
- ICPR-v4-2006-AroraA #analysis #image #multi #segmentation
- Analysis of Ramp Discontinuity Model for Multiscale Image Segmentation (HA, NA), pp. 99–103.
- ICPR-v4-2006-LiZZB #analysis #approach #automation #multi #segmentation #using
- A New Approach to Automated Retinal Vessel Segmentation Using Multiscale Analysis (QL, LZ, DZ, PB), pp. 77–80.
- ICPR-v4-2006-TianK06b #automation #distance #multi
- Voting Weighted Modified Hausdorff Distance Through Multiscale Space for Automatic Image-Map Registration (LT, SiK), pp. 837–840.
- ICPR-v4-2006-XuC #classification #invariant #multi
- Multiscale Blob Features for Gray Scale, Rotation and Spatial Scale Invariant Texture Classification (QX, YQC), pp. 29–32.
- ICPR-v4-2006-ZhangMH #feature model #multi #network
- Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network (ZZ, SM, XH), pp. 145–148.
- ICDAR-2005-LiSC #analysis #matrix #multi
- A Threshlod Selection Method Based on Multiscale and Graylevel Co-occurrence Matrix Analysis (YL, CYS, MC), pp. 575–579.
DRR-2004-Nishida #adaptation #analysis #documentation #image #multi- Adaptive inverse halftoning for scanned document images through multiresolution and multiscale analysis (HN), pp. 192–203.
- ICPR-v2-2004-KunttuLRV #fourier #image #multi #retrieval
- Multiscale Fourier Descriptor for Shape-Based Image Retrieval (IK, LL, JR, AV), pp. 765–768.
- ICPR-v2-2004-RubeAK #classification #invariant #multi
- Coarse-to-Fine Multiscale Affine Invariant Shape Matching and Classification (IER, MA, MK), pp. 163–166.
- ICPR-v2-2004-TremblaisA #algorithm #detection #multi #performance
- A Fast Multiscale Edge Detection Algorithm Based on a New Edge Preserving PDE Resolution Scheme (BT, BA), pp. 811–814.
HPDC-2004-QiaoSD #empirical #multi #network #predict- An Empirical Study of the Multiscale Predictability of Network Traffic (YQ, JAS, PAD), pp. 66–76.
- ICDAR-2003-NishidaS #approach #documentation #image #multi
- A Multiscale Approach to Restoring Scanned Color Document Images with Show-Through Effects (HN, TS), pp. 584–588.
VLDB-2003-LinLYZ #dataset #multi #scalability- Multiscale Histograms: Summarizing Topological Relations in Large Spatial Datasets (XL, QL, YY, XZ), pp. 814–825.
- ICPR-v1-2002-HaindlH #multi
- A Multiscale Colour Texture Model (MH, VH), p. 255–?.
- ICPR-v1-2002-Mignotte #multi #parametricity
- Bayesian Rendering with Non-Parametric Multiscale Prior Model (MM), pp. 247–251.
- ICPR-v3-2002-BoyerSF #for free #multi #recognition
- Multiscale Surface Organization and Description for Free Form bject Recognition (KLB, RS, PJF), pp. 569–572.
- ICPR-v3-2002-GrazziniTY #estimation #image #multi
- Entropy Estimation and Multiscale Processing in Meteorological Satellite Images (JG, AT, HMY), p. 764–?.
- ICPR-v3-2002-NishidaS #analysis #documentation #image #multi
- Correcting Show-Through Effects on Document Images by Multiscale Analysis (HN, TS), pp. 65–68.
- ICPR-v3-2002-ScheundersS #image #multi #segmentation
- Multiscale Watershed Segmentation of Multivalued Images (PS, JS), pp. 855–858.
- ICPR-v2-2000-HontaniD #approximate #generative #multi
- Primitive Curve Generation Based on Multiscale Contour Figure Approximation (HH, KD), pp. 2887–2890.
- ICPR-v2-2000-MetzlerAPL #classification #image #matrix #multi
- Texture Classification of Graylevel Images by Multiscale Cross-Cooccurrence Matrices (VM, TA, CP, TML), pp. 2549–2552.
- ICPR-v2-2000-RaducanuG #locality #multi
- Face Localization Based on the Morphological Multiscale Fingerprint (BR, MG), pp. 2925–2928.
- ICPR-v3-2000-DaoudiM #invariant #multi #representation
- New Multiscale Planar Shape Invariant Representation under a General Affine Transformations (MD, SM), pp. 3794–3797.
- ICPR-v3-2000-FayolleDRC #detection #multi
- A Wavelet Based Multiscale Detection Scheme of Feature Points (JF, CD, LR, SC), pp. 3425–3428.
- ICPR-v3-2000-GermainCB #estimation #multi
- Multiscale Estimation of Textural Features. Application to the Characterization of Texture Anisotropy (CG, JPDC, PB), pp. 3935–3938.
- ICPR-v3-2000-NikolovBCHW #2d #image #multi #using
- Fusion of 2-D Images Using Their Multiscale Edges (SGN, DRB, CNC, MH, PNTW), pp. 3045–3048.
- ICPR-v3-2000-TodtT #detection #multi
- Detection of Natural Landmarks through Multiscale Opponent Features (ET, CT), pp. 3988–3991.
- ICPR-v4-2000-Egmont-PetersenFNHBVR #image #multi #network #segmentation #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.
DAC-1999-TauschW #multi #performance- A Multiscale Method for Fast Capacitance Extraction (JT, JKW), pp. 537–542.
- CHI-1999-GuiardBM #multi #navigation #precise
- Navigation as Multiscale Pointing: Extending Fitts’ Model to Very High Precision Tasks (YG, MBL, DM), pp. 450–457.
HT-1998-HightowerRHBH #case study #multi #visual notation #web- Graphical Multiscale Web Histories: A Study of Padprints (RRH, LTR, JH, BBB, JDH), pp. 58–65.
- ICPR-1998-MokhtariB #constant #multi #using
- Multiscale compression of planar curves using constant curvature segments (MM, RB), pp. 744–746.
- ICPR-1998-PagetL #markov #multi #parametricity #random #recognition #synthesis
- Texture synthesis and unsupervised recognition with a nonparametric multiscale Markov random field model (RP, DL), pp. 1068–1070.
- ICPR-1998-SukanyaTS #classification #image #multi #using
- Image classification using the surface-shape operator and multiscale features (PS, RT, MS), pp. 334–337.
- ICPR-1996-AzencottDP #identification #multi #scalability
- Multiscale identification of buildings in compressed large aerial scenes (RA, FD, JP), pp. 974–978.
- ICPR-1996-CesarC #energy #multi #using
- Shape characterization in natural scales by using the multiscale bending energy (RMCJ, LdFC), pp. 735–739.
- ICPR-1996-CourtneyA #image #multi #segmentation #using
- Segmentation of volume images using a multiscale transform (TC, NA), pp. 432–436.
- ICPR-1996-Floreby #algorithm #image #multi #sequence
- A multiscale algorithm for closed contour matching in image sequence (LF), pp. 884–888.
- ICPR-1996-FurukawaIU #image #multi #queue
- Active tubes in multiscale image queue (RF, MI, TU), pp. 488–492.
- ICPR-1996-Matalas #approximate #image #multi #set
- A new set of multiscale texture features based on B-spline image approximation (IM), pp. 810–814.
- CHI-1995-FurnasB #comprehension #diagrams #interface #multi
- Space-Scale Diagrams: Understanding Multiscale Interfaces (GWF, BBB), pp. 234–241.
