Shape Context: A New Descriptor for Shape Matching and Object Recognition (English)
- New search for: Belongie, S.
- New search for: Malik, J.
- New search for: Puzicha, J.
- New search for: Belongie, S.
- New search for: Malik, J.
- New search for: Puzicha, J.
- New search for: Dietterich, T. G.
- New search for: Leen, T. K.
- New search for: Tresp, V.
In:
Advances in neural information processing systems
13
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831-837
;
2001
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ISBN:
-
ISSN:
- Conference paper / Print
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Title:Shape Context: A New Descriptor for Shape Matching and Object Recognition
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Contributors:Belongie, S. ( author ) / Malik, J. ( author ) / Puzicha, J. ( author ) / Dietterich, T. G. / Leen, T. K. / Tresp, V.
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Conference:Conference; 14th, Advances in neural information processing systems ; 2000
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Published in:Advances in neural information processing systems , 13 ; 831-837ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS , 13 ; 831-837
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Publisher:
- New search for: MIT Press
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Publication date:2001-01-01
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Size:7 pages
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Remarks:Also known as NIPS. Held in Colorado
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ISBN:
-
ISSN:
-
Type of media:Conference paper
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Type of material:Print
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Language:English
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Keywords:
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Source:
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Table of contents conference proceedings
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
-
Who Does What? A Novel Algorithm to Determine Function LocalizationAharonov-Barki, R. / Meilijson, I. / Ruppin, E. et al. | 2001
- 10
-
A Productive, Systematic Framework for the Representation of Visual StructureEdelman, S. / Intrator, N. et al. | 2001
- 17
-
The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem SolvingGrimes, D. B. / Mozer, M. C. et al. | 2001
- 24
-
Hippocampally-Dependent Consolidation in a Hierarchical Model of NeocortexKali, S. / Dayan, P. et al. | 2001
- 31
-
Position Variance, Recurrence and Perceptual LearningLi, Z. / Dayan, P. et al. | 2001
- 38
-
The Use of MDL to Select among Computational Models of CognitionMyung, I. J. / Pitt, M. A. / Zhang, S. / Balasubramanian, V. et al. | 2001
- 45
-
Active Inference in Concept LearningNelson, J. D. / Movellan, J. R. et al. | 2001
- 52
-
The Early Word Catches the WeightsSmith, M. A. / Cottrell, G. W. / Anderson, K. L. et al. | 2001
- 59
-
Structure Learning in Human Causal InductionTenenbaum, J. B. / Griffiths, T. L. et al. | 2001
- 66
-
Adaptive Object Representation with Hierarchically-Distributed Memory SitesTjan, B. S. et al. | 2001
- 75
-
What Can a Single Neuron Compute?y Arcas, B. A. / Fairhall, A. L. / Bialek, W. et al. | 2001
- 82
-
Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual StimuliArchie, K. A. / Mel, B. W. et al. | 2001
- 89
-
Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement LearningArleo, A. / Smeraldi, F. / Hug, S. / Gerstner, W. et al. | 2001
- 96
-
Modelling Spatial Recall, Mental Imagery and NeglectBecker, S. / Burgess, N. et al. | 2001
- 103
-
Stability and Noise in Biochemical SwitchesBialek, W. et al. | 2001
- 110
-
Temporally Dependent Plasticity: An Information Theoretic AccountChechik, G. / Tishby, N. et al. | 2001
- 117
-
A New Model of Spatial Representation in Multimodal Brain AreasDeneve, S. / Duhamel, J.-R. / Pouget, A. et al. | 2001
- 124
-
Multiple Timescales of Adaptation in a Neural CodeFairhall, A. L. / Lewen, G. D. / Bialek, W. / de Ruyter van Steveninck, R. R. et al. | 2001
- 131
-
Dopamine BonusesKakade, S. / Dayan, P. et al. | 2001
- 138
-
Finding the Key to a SynapseNatschlager, T. / Maass, W. et al. | 2001
- 145
-
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic DynamicsNatschlager, T. / Maass, W. / Sontag, E. D. / Zador, A. et al. | 2001
- 152
-
Spike-Timing-Dependent Learning for Oscillatory NetworksScarpetta, S. / Li, Z. / Hertz, J. et al. | 2001
- 159
-
Universality and Individuality in a Neural Code, Elad SchneidmanBrenner, N. / Tishby, N. / de Ruyter van Steveninck, R. R. / Bialek, W. et al. | 2001
- 166
-
Natural Sound Statistics and Divisive Normalization in the Auditory SystemSchwartz, O. / Simoncelli, E. P. et al. | 2001
- 173
-
Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart InterneuronSimoni, M. F. / Cymbalyuk, G. S. / Sorensen, M. Q. / Calabrese, R. L. / DeWeerth, S. P. et al. | 2001
- 180
-
Whence Sparseness?van Vreeswijk, C. et al. | 2001
- 189
-
Efficient Learning of Linear PerceptronsBen-David, S. / Simon, H. U. et al. | 2001
- 196
-
Algorithmic Stability and Generalization PerformanceBousquet, O. / Elisseeff, A. et al. | 2001
- 203
-
Competition and Arbors in Ocular DominanceDayan, P. et al. | 2001
- 210
-
From Margin to SparsityGraepel, T. / Herbrich, R. / Williamson, R. C. et al. | 2001
- 217
-
Permitted and Forbidden Sets in Symmetric Threshold-Linear NetworksHahnloser, R. H. R. / Seung, H. S. et al. | 2001
- 224
-
A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs workHerbrich, R. / Graepel, T. et al. | 2001
- 231
-
On Reversing Jensen's InequalityJebara, T. / Pentland, A. et al. | 2001
- 238
-
Second Order Approximations for Probability ModelsKappen, H. J. / Wiegerinck, W. et al. | 2001
- 245
-
Some New Bounds on the Generalization Error of Combined ClassifiersKoltchinskii, V. / Panchenko, D. / Lozano, F. et al. | 2001
- 252
-
Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out EstimatorKowalczyk, A. et al. | 2001
- 259
-
Foundations for a Circuit Complexity Theory of Sensory ProcessingLegenstein, R. A. / Maass, W. et al. | 2001
- 266
-
A Tighter Bound for Graphical ModelsLeisink, M. A. R. / Kappen, H. J. et al. | 2001
- 273
-
Learning Curves for Gaussian Processes Regression: A Framework for Good ApproximationsMalzahn, D. / Opper, M. et al. | 2001
- 280
-
Weak Learners and Improved Rates of Convergence in BoostingMannor, S. / Meir, R. et al. | 2001
- 287
-
Learning Continuous Distributions: Simulations With Field Theoretic PriorsNemenman, I. / Bialek, W. et al. | 2001
- 294
-
Occam's RazorRasmussen, C. E. / Ghahramani, Z. et al. | 2001
- 301
-
The Kernel Trick for DistancesScholkopf, B. et al. | 2001
- 308
-
Regularization with Dot-Product KernelsSmola, A. J. / Ovari, Z. L. / Williamson, R. C. et al. | 2001
- 315
-
Analysis of Bit Error Probability of Direct-Sequence CDMA Multiuser DemodulatorsTanaka, T. et al. | 2001
- 322
-
Error-correcting Codes on a Bethe-like LatticeVicente, R. / Saad, D. / Kabashima, Y. et al. | 2001
- 329
-
Algebraic Information Geometry for Learning Machines with SingularitiesWatanabe, S. et al. | 2001
- 336
-
Computing with Finite and Infinite NetworksWinther, O. et al. | 2001
- 343
-
Stagewise Processing in Error-correcting Codes and Image RestorationWong, K. Y. M. / Nishimori, H. et al. | 2001
- 350
-
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory NetworksXie, X. / Hahnloser, R. H. R. / Seung, H. S. et al. | 2001
- 357
-
Convergence of Large Margin Separable Linear ClassificationZhang, T. et al. | 2001
- 367
-
A Support Vector Method for ClusteringBen-Hur, A. / Horn, D. / Siegelmann, H. T. / Vapnik, V. et al. | 2001
- 374
-
A Variational Mean-Field Theory for Sigmoidal Belief NetworksBhattacharyya, C. / Keerthi, S. S. et al. | 2001
- 381
-
Direct Classification with Indirect DataBrown, T. X. et al. | 2001
- 388
-
Model Complexity, Goodness of Fit and Diminishing ReturnsCadez, I. V. / Smyth, P. et al. | 2001
- 395
-
A Linear Programming Approach to Novelty DetectionCampbell, C. / Bennett, K. P. et al. | 2001
- 402
-
Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early StoppingCaruana, R. / Lawrence, S. / Giles, L. et al. | 2001
- 409
-
Incremental and Decremental Support Vector Machine LearningCauwenberghs, G. / Poggio, T. et al. | 2001
- 416
-
Vicinal Risk MinimizationChapelle, O. / Weston, J. / Bottou, L. / Vapnik, V. et al. | 2001
- 423
-
GaussianizationChen, S. S. / Gopinath, R. A. et al. | 2001
- 430
-
The Missing Link - A Probabilistic Model of Document Content and Hypertext ConnectivityCohn, D. / Hofmann, T. et al. | 2001
- 437
-
Improved Output Coding for Classification Using Continuous RelaxationCrammer, K. / Singer, Y. et al. | 2001
- 444
-
Sparse Representation for Gaussian Process ModelsCsato, L. / Opper, M. et al. | 2001
- 451
-
Explaining Away in Weight SpaceDayan, P. / Kakade, S. et al. | 2001
- 458
-
An Adaptive Metric Machine for Pattern ClassificationDomeniconi, C. / Peng, J. / Gunopulos, D. et al. | 2001
- 465
-
High-temperature Expansions for Learning Models of Nonnegative DataDowns, O. B. et al. | 2001
- 472
-
Incorporating Second-Order Functional Knowledge for Better Option PricingDugas, C. / Bengio, Y. / Belisle, F. / Nadeau, C. / Garcia, R. et al. | 2001
- 479
-
Discovering Hidden Variables: A Structure-Based ApproachElidan, G. / Lotner, N. / Friedman, N. / Koller, D. et al. | 2001
- 486
-
Accumulator Networks: Suitors of Local Probability PropagationFrey, B. J. / Kannan, A. et al. | 2001
- 493
-
Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR NetworksFrey, B. J. / Patrascu, R. / Jaakkola, T. S. / Moran, J. et al. | 2001
- 500
-
A New Approximate Maximal Margin Classification AlgorithmGentile, C. et al. | 2001
- 507
-
Propagation Algorithms for Variational Bayesian LearningGhahramani, Z. / Beal, M. J. et al. | 2001
- 514
-
The Kernel Gibbs SamplerGraepel, T. / Herbrich, R. et al. | 2001
- 521
-
`N-Body' Problems in Statistical LearningGray, A. G. / Moore, A. W. et al. | 2001
- 528
-
Large Scale Bayes Point MachinesHerbrich, R. / Graepel, T. et al. | 2001
- 535
-
Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex ModelsHochreiter, S. / Mozer, M. C. et al. | 2001
- 542
-
Ensemble Learning and Linear Response Theory for ICAHojen-Sorensen, P. A. d. F. R. / Winther, O. / Hansen, L. K. et al. | 2001
- 549
-
Generalizable Singular Value Decomposition for Ill-posed DatasetsKjems, U. / Hansen, L. K. / Strother, S. C. et al. | 2001
- 556
-
Algorithms for Non-negative Matrix FactorizationLee, D. D. / Seung, H. S. et al. | 2001
- 563
-
Text Classification using String KernelsLodhi, H. / Shawe-Taylor, J. / Cristianini, N. / Watkins, C. et al. | 2001
- 570
-
Constrained Independent Component AnalysisLu, W. / Rajapakse, J. C. et al. | 2001
- 577
-
Active Support Vector Machine ClassificationMangasarian, O. L. / Musicant, D. R. et al. | 2001
- 584
-
The Unscented Particle Filtervan der Merwe, R. / Doucet, A. / de Freitas, N. / Wan, E. et al. | 2001
- 591
-
A Mathematical Programming Approach to the Kernel Fisher AlgorithmMika, S. / Ratsch, G. / Muller, K.-R. et al. | 2001
- 598
-
Automatic Choice of Dimensionality for PCAMinka, T. P. et al. | 2001
- 605
-
On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares ProblemsMizutani, E. / Demmel, J. W. et al. | 2001
- 612
-
An Information Maximization Approach to Overcomplete and Recurrent RepresentationsShriki, O. / Sompolinsky, H. / Lee, D. D. et al. | 2001
- 619
-
Sparse Greedy Gaussian Process RegressionSmola, A. J. / Bartlett, P. et al. | 2001
- 626
-
Kernel Expansions with Unlabeled ExamplesSzummer, M. / Jaakkola, T. S. et al. | 2001
- 633
-
Sparse Kernel Principal Component AnalysisTipping, M. E. et al. | 2001
- 640
-
Data Clustering by Markovian Relaxation and the Information Bottleneck MethodTishby, N. / Slonim, N. et al. | 2001
- 647
-
Active Learning for Parameter Estimation in Bayesian NetworksTong, S. / Koller, D. et al. | 2001
- 654
-
Mixtures of Gaussian ProcessesTresp, V. et al. | 2001
- 661
-
Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with CyclesWainwright, M. J. / Sudderth, E. B. / Willsky, A. S. et al. | 2001
- 668
-
Feature Selection for SVMsWeston, J. / Mukherjee, S. / Chapelle, O. / Pontil, M. / Poggio, T. / Vapnik, V. et al. | 2001
- 675
-
On a Connection between Kernel PCA and Metric Multidimensional ScalingWilliams, C. K. I. et al. | 2001
- 682
-
Using the Nystrom Method to Speed Up Kernel MachinesWilliams, C. K. I. / Seeger, M. et al. | 2001
- 689
-
Generalized Belief PropagationYedidia, J. S. / Freeman, W. T. / Weiss, Y. et al. | 2001
- 696
-
A Gradient-Based Boosting Algorithm for Regression ProblemsZemel, R. S. / Pitassi, T. et al. | 2001
- 703
-
Regularized Winnow MethodsZhang, T. et al. | 2001
- 713
-
A Silicon Primitive for Competitive LearningHsu, D. / Figueroa, M. / Diorio, C. et al. | 2001
- 720
-
Smart Vision Chip Fabricated Using Three Dimensional Integration TechnologyKurino, H. / Nakagawa, M. / Lee, K. W. / Nakamura, T. / Yamada, Y. / Park, K. T. / Koyanagi, M. et al. | 2001
- 727
-
Homeostasis in a Silicon Integrate and Fire NeuronLiu, S.-C. / Minch, B. A. et al. | 2001
- 734
-
Fast Training of Support Vector Classifiers, Fernando Perez-CruzAlarcon-Diana, P. L. / Navia-Vazquez, A. / Artes-Rodriguez, A. et al. | 2001
- 741
-
Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning AlgorithmStill, S. / Scholkopf, B. / Hepp, K. / Douglas, R. J. et al. | 2001
- 751
-
New Approaches Towards Robust and Adaptive Speech RecognitionBourlard, H. / Bengio, S. / Weber, K. et al. | 2001
- 758
-
Speech Denoising and Dereverberation Using Probabilistic ModelsAttias, H. / Platt, J. C. / Acero, A. / Deng, L. et al. | 2001
- 765
-
Combining ICA and Top-Down Attention for Robust Speech RecognitionBae, U.-M. / Lee, S.-Y. et al. | 2001
- 772
-
Learning Joint Statistical Models for Audio-Visual Fusion and SegregationFisher, J. W. / Darrell, T. / Freeman, W. T. / Viola, P. et al. | 2001
- 779
-
Factored Semi-Tied Covariance MatricesGales, M. J. F. et al. | 2001
- 786
-
Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural SignalsParra, L. / Spence, C. / Sajda, P. et al. | 2001
- 793
-
One Microphone Source SeparationRoweis, S. T. et al. | 2001
- 800
-
Minimum Bayes Error Feature Selection for Continuous Speech RecognitionSaon, G. / Padmanabhan, M. et al. | 2001
- 807
-
Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in SpeechSaul, L. K. / Allen, J. B. et al. | 2001
- 814
-
FaceSync: A Linear Operator for Measuring Synchronization of Video Facial Images and Audio TracksSlaney, M. / Covell, M. et al. | 2001
- 821
-
Noise Suppression Based on Neurophysiologically-motivated SNR Estimation for Robust Speech RecognitionTchorz, J. / Kleinschmidt, M. / Kollmeier, B. et al. | 2001
- 831
-
Shape Context: A New Descriptor for Shape Matching and Object RecognitionBelongie, S. / Malik, J. / Puzicha, J. et al. | 2001
- 838
-
Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving ImagesBogacz, R. / Brown, M. W. / Giraud-Carrier, C. et al. | 2001
- 845
-
The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian InferenceCoughlan, J. M. / Yuille, A. L. et al. | 2001
- 852
-
Feature Correspondence: A Markov Chain Monte Carlo ApproachDellaert, F. / Seitz, S. M. / Thrun, S. / Thorpe, C. et al. | 2001
- 859
-
Keeping Flexible Active Contours on Track using Metropolis UpdatesKristjansson, T. T. / Frey, B. J. et al. | 2001
- 866
-
Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural ScenesLee, T.-W. / Wachtler, T. / Sejnowski, T. J. et al. | 2001
- 873
-
Learning Segmentation by Random WalksMeila, M. / Shi, J. et al. | 2001
- 880
-
Partially Observable SDE Models for Image Sequence Recognition TasksMovellan, J. R. / Mineiro, P. / Williams, R. J. et al. | 2001
- 887
-
Learning Sparse Image Codes using a Wavelet Pyramid ArchitectureOlshausen, B. A. / Sallee, P. / Lewicki, M. S. et al. | 2001
- 894
-
Learning and Tracking Cyclic Human MotionOrmoneit, D. / Sidenbladh, H. / Black, M. J. / Hastie, T. et al. | 2001
- 901
-
Redundancy and Dimensionality Reduction in Sparse-Distributed Representations of Natural Objects in Terms of Their Local FeaturesPenev, P. S. et al. | 2001
- 908
-
Rate-coded Restricted Boltzmann Machines for Face RecognitionTeh, Y. W. / Hinton, G. E. et al. | 2001
- 915
-
Divisive and Subtractive Mask Effects: Linking Psychophysics and BiophysicsZenger, B. / Koch, C. et al. | 2001
- 925
-
From Mixtures of Mixtures to Adaptive Transform CodingArcher, C. / Leen, T. K. et al. | 2001
- 932
-
A Neural Probabilistic Language ModelBengio, Y. / Ducharme, R. / Vincent, P. et al. | 2001
- 939
-
A Comparison of Image Processing Techniques for Visual Speech Recognition ApplicationsGray, M. S. / Sejnowski, T. J. / Movellan, J. R. et al. | 2001
- 946
-
Support Vector Novelty Detection Applied to Jet Engine Vibration SpectraHayton, P. / Scholkopf, B. / Tarassenko, L. / Anuzis, P. et al. | 2001
- 953
-
Recognizing Hand-written Digits Using Hierarchical Products of ExpertsMayraz, G. / Hinton, G. E. et al. | 2001
- 960
-
Sex with Support Vector MachinesMoghaddam, B. / Yang, M.-H. et al. | 2001
- 967
-
Probabilistic Semantic Video IndexingNaphade, M. R. / Kozintsev, I. / Huang, T. et al. | 2001
- 974
-
Interactive Parts Model: An Application to Recognition of On-line Cursive ScriptNeskovic, P. / Davis, P. C. / Cooper, L. N. et al. | 2001
- 981
-
Learning Switching Linear Models of Human MotionPavlovic, V. / Rehg, J. M. / MacCormick, J. et al. | 2001
- 988
-
Bayes Networks on Ice: Robotic Search for Antarctic MeteoritesPedersen, L. / Apostolopoulos, D. / Whittaker, R. et al. | 2001
- 995
-
The Use of Classifiers in Sequential InferencePunyakanok, V. / Roth, D. et al. | 2001
- 1002
-
Machine Learning for Video-Based RenderingSchodl, A. / Essa, I. et al. | 2001
- 1009
-
Bayesian Video Shot SegmentationVasconcelos, N. / Lippman, A. et al. | 2001
- 1019
-
Programmable Reinforcement Learning AgentsAndre, D. / Russell, S. J. et al. | 2001
- 1026
-
Exact Solutions to Time-Dependent MDPsBoyan, J. A. / Littman, M. L. et al. | 2001
- 1033
-
Decomposition of Reinforcement Learning for Admission Control of Self-Similar Call Arrival ProcessesCarlstrom, J. et al. | 2001
- 1040
-
Reinforcement Learning with Function Approximation Converges to a RegionGordon, G. J. et al. | 2001
- 1047
-
Hierarchical Memory-Based Reinforcement LearningHernandez-Gardiol, N. / Mahadevan, S. et al. | 2001
- 1054
-
Automated State Abstraction for Options using the U-Tree AlgorithmJonsson, A. / Barto, A. G. et al. | 2001
- 1061
-
Robust Reinforcement LearningMorimoto, J. / Doya, K. et al. | 2001
- 1068
-
Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio ChoiceOrmoneit, D. / Glynn, P. et al. | 2001
- 1075
-
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning TaskSallans, B. / Hinton, G. E. et al. | 2001
- 1082
-
Balancing Multiple Sources of Reward in Reinforcement LearningShelton, C. R. et al. | 2001
- 1089
-
APRICODD: Approximate Policy Construction Using Decision DiagramsSt-Aubin, R. / Hoey, J. / Boutilier, C. et al. | 2001