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Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
2000 (conf/nips/2000)

  1. Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
    Who Does What? A Novel Algorithm to Determine Function Localization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:3-9 [Conf]
  2. Shimon Edelman, Nathan Intrator
    A Productive, Systematic Framework for the Representation of Visual Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:10-16 [Conf]
  3. David B. Grimes, Michael Mozer
    The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:17-23 [Conf]
  4. Szabolcs Káli, Peter Dayan
    Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:24-30 [Conf]
  5. Zhaoping Li, Peter Dayan
    Position Variance, Recurrence and Perceptual Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:31-37 [Conf]
  6. In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Balasubramanian
    The Use of MDL to Select among Computational Models of Cognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:38-44 [Conf]
  7. Jonathan D. Nelson, Javier R. Movellan
    Active Inference in Concept Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:45-51 [Conf]
  8. Mark A. Smith, Garrison W. Cottrell, Karen L. Anderson
    The Early Word Catches the Weights. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:52-58 [Conf]
  9. Joshua B. Tenenbaum, Thomas L. Griffiths
    Structure Learning in Human Causal Induction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:59-65 [Conf]
  10. Bosco S. Tjan
    Adaptive Object Representation with Hierarchically-Distributed Memory Sites. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:66-72 [Conf]
  11. Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek
    What Can a Single Neuron Compute? [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:75-81 [Conf]
  12. Kevin A. Archie, Bartlett W. Mel
    Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual Stimuli. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:82-88 [Conf]
  13. Angelo Arleo, Fabrizio Smeraldi, Stéphane Hug, Wulfram Gerstner
    Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:89-95 [Conf]
  14. Suzanna Becker, Neil Burgess
    Modelling Spatial Recall, Mental Imagery and Neglect. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:96-102 [Conf]
  15. William Bialek
    Stability and Noise in Biochemical Switches. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:103-109 [Conf]
  16. Gal Chechik, Naftali Tishby
    Temporally Dependent Plasticity: An Information Theoretic Account. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:110-116 [Conf]
  17. Sophie Deneve, Jean-Rene Duhamel, Alexandre Pouget
    A New Model of Spatial Representation in Multimodal Brain Areas. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:117-123 [Conf]
  18. Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek, Robert R. de Ruyter van Steveninck
    Multiple Timescales of Adaptation in a Neural Code. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:124-130 [Conf]
  19. Sham Kakade, Peter Dayan
    Dopamine Bonuses. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:131-137 [Conf]
  20. Thomas Natschläger, Wolfgang Maass
    Finding the Key to a Synapse. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:138-144 [Conf]
  21. Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador
    Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:145-151 [Conf]
  22. Silvia Scarpetta, Zhaoping Li, John A. Hertz
    Spike-Timing-Dependent Learning for Oscillatory Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:152-158 [Conf]
  23. Elad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek
    Universality and Individuality in a Neural Code. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:159-165 [Conf]
  24. Odelia Schwartz, Eero P. Simoncelli
    Natural Sound Statistics and Divisive Normalization in the Auditory System. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:166-172 [Conf]
  25. Mario F. Simoni, Gennady S. Cymbalyuk, Michael E. Sorensen, Ronald L. Calabrese, Stephen P. DeWeerth
    Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart Interneuron. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:173-179 [Conf]
  26. Carl van Vreeswijk
    Whence Sparseness? [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:180-186 [Conf]
  27. Shai Ben-David, Hans-Ulrich Simon
    Efficient Learning of Linear Perceptrons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:189-195 [Conf]
  28. Olivier Bousquet, André Elisseeff
    Algorithmic Stability and Generalization Performance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:196-202 [Conf]
  29. Peter Dayan
    Competition and Arbors in Ocular Dominance. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:203-209 [Conf]
  30. Thore Graepel, Ralf Herbrich, Robert C. Williamson
    From Margin to Sparsity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:210-216 [Conf]
  31. Richard H. R. Hahnloser, H. Sebastian Seung
    Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:217-223 [Conf]
  32. Ralf Herbrich, Thore Graepel
    A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:224-230 [Conf]
  33. Tony Jebara, Alex Pentland
    On Reversing Jensen's Inequality. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:231-237 [Conf]
  34. Hilbert J. Kappen, Wim Wiegerinck
    Second Order Approximations for Probability Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:238-244 [Conf]
  35. Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano
    Some New Bounds on the Generalization Error of Combined Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:245-251 [Conf]
  36. Adam Kowalczyk
    Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:252-258 [Conf]
  37. Robert A. Legenstein, Wolfgang Maass
    Foundations for a Circuit Complexity Theory of Sensory Processing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:259-265 [Conf]
  38. Martijn A. R. Leisink, Hilbert J. Kappen
    A Tighter Bound for Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:266-272 [Conf]
  39. Dörthe Malzahn, Manfred Opper
    Learning Curves for Gaussian Processes Regression: A Framework for Good Approximations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:273-279 [Conf]
  40. Shie Mannor, Ron Meir
    Weak Learners and Improved Rates of Convergence in Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:280-286 [Conf]
  41. Ilya Nemenman, William Bialek
    Learning Continuous Distributions: Simulations With Field Theoretic Priors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:287-293 [Conf]
  42. Carl Edward Rasmussen, Zoubin Ghahramani
    Occam's Razor. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:294-300 [Conf]
  43. Bernhard Schölkopf
    The Kernel Trick for Distances. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:301-307 [Conf]
  44. Alex J. Smola, Zoltán L. Óvári, Robert C. Williamson
    Regularization with Dot-Product Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:308-314 [Conf]
  45. Toshiyuki Tanaka
    Analysis of Bit Error Probability of Direct-Sequence CDMA Multiuser Demodulators. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:315-321 [Conf]
  46. Renato Vicente, David Saad, Yoshiyuki Kabashima
    Error-correcting Codes on a Bethe-like Lattice. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:322-328 [Conf]
  47. Sumio Watanabe
    Algebraic Information Geometry for Learning Machines with Singularities. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:329-335 [Conf]
  48. Ole Winther
    Computing with Finite and Infinite Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:336-342 [Conf]
  49. K. Y. Michael Wong, Hidetoshi Nishimori
    Stagewise Processing in Error-correcting Codes and Image Restoration. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:343-349 [Conf]
  50. Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung
    Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:350-356 [Conf]
  51. Tong Zhang
    Convergence of Large Margin Separable Linear Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:357-363 [Conf]
  52. Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
    A Support Vector Method for Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:367-373 [Conf]
  53. Chiranjib Bhattacharyya, S. Sathiya Keerthi
    A Variational Mean-Field Theory for Sigmoidal Belief Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:374-380 [Conf]
  54. Timothy X. Brown
    Direct Classification with Indirect Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:381-387 [Conf]
  55. Igor V. Cadez, Padhraic Smyth
    Model Complexity, Goodness of Fit and Diminishing Returns. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:388-394 [Conf]
  56. Colin Campbell, Kristin P. Bennett
    A Linear Programming Approach to Novelty Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:395-401 [Conf]
  57. Rich Caruana, Steve Lawrence, C. Lee Giles
    Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:402-408 [Conf]
  58. Gert Cauwenberghs, Tomaso Poggio
    Incremental and Decremental Support Vector Machine Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:409-415 [Conf]
  59. Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik
    Vicinal Risk Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:416-422 [Conf]
  60. Scott Saobing Chen, Ramesh A. Gopinath
    Gaussianization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:423-429 [Conf]
  61. David A. Cohn, Thomas Hofmann
    The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:430-436 [Conf]
  62. Koby Crammer, Yoram Singer
    Improved Output Coding for Classification Using Continuous Relaxation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:437-443 [Conf]
  63. Lehel Csató, Manfred Opper
    Sparse Representation for Gaussian Process Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:444-450 [Conf]
  64. Peter Dayan, Sham Kakade
    Explaining Away in Weight Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:451-457 [Conf]
  65. Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos
    An Adaptive Metric Machine for Pattern Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:458-464 [Conf]
  66. Oliver B. Downs
    High-temperature Expansions for Learning Models of Nonnegative Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:465-471 [Conf]
  67. Charles Dugas, Yoshua Bengio, François Bélisle, Claude Nadeau, René Garcia
    Incorporating Second-Order Functional Knowledge for Better Option Pricing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:472-478 [Conf]
  68. Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller
    Discovering Hidden Variables: A Structure-Based Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:479-485 [Conf]
  69. Brendan J. Frey, Anitha Kannan
    Accumulator Networks: Suitors of Local Probability Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:486-492 [Conf]
  70. Brendan J. Frey, Relu Patrascu, Tommi Jaakkola, Jodi Moran
    Sequentially Fitting ``Inclusive'' Trees for Inference in Noisy-OR Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:493-499 [Conf]
  71. Claudio Gentile
    A New Approximate Maximal Margin Classification Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:500-506 [Conf]
  72. Zoubin Ghahramani, Matthew J. Beal
    Propagation Algorithms for Variational Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:507-513 [Conf]
  73. Thore Graepel, Ralf Herbrich
    The Kernel Gibbs Sampler. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:514-520 [Conf]
  74. Alexander G. Gray, Andrew W. Moore
    `N-Body' Problems in Statistical Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:521-527 [Conf]
  75. Ralf Herbrich, Thore Graepel
    Large Scale Bayes Point Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:528-534 [Conf]
  76. Sepp Hochreiter, Michael Mozer
    Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:535-541 [Conf]
  77. Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen
    Ensemble Learning and Linear Response Theory for ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:542-548 [Conf]
  78. Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother
    Generalizable Singular Value Decomposition for Ill-posed Datasets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:549-555 [Conf]
  79. Daniel D. Lee, H. Sebastian Seung
    Algorithms for Non-negative Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:556-562 [Conf]
  80. Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Christopher J. C. H. Watkins
    Text Classification using String Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:563-569 [Conf]
  81. Wei Lu, Jagath C. Rajapakse
    Constrained Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:570-576 [Conf]
  82. Olvi L. Mangasarian, David R. Musicant
    Active Support Vector Machine Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:577-583 [Conf]
  83. Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric A. Wan
    The Unscented Particle Filter. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:584-590 [Conf]
  84. Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller
    A Mathematical Programming Approach to the Kernel Fisher Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:591-597 [Conf]
  85. Thomas P. Minka
    Automatic Choice of Dimensionality for PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:598-604 [Conf]
  86. Eiji Mizutani, James Demmel
    On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:605-611 [Conf]
  87. Oren Shriki, Haim Sompolinsky, Daniel D. Lee
    An Information Maximization Approach to Overcomplete and Recurrent Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:612-618 [Conf]
  88. Alex J. Smola, Peter L. Bartlett
    Sparse Greedy Gaussian Process Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:619-625 [Conf]
  89. Martin Szummer, Tommi Jaakkola
    Kernel Expansions with Unlabeled Examples. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:626-632 [Conf]
  90. Michael E. Tipping
    Sparse Kernel Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:633-639 [Conf]
  91. Naftali Tishby, Noam Slonim
    Data Clustering by Markovian Relaxation and the Information Bottleneck Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:640-646 [Conf]
  92. Simon Tong, Daphne Koller
    Active Learning for Parameter Estimation in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:647-653 [Conf]
  93. Volker Tresp
    Mixtures of Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:654-660 [Conf]
  94. Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky
    Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:661-667 [Conf]
  95. Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik
    Feature Selection for SVMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:668-674 [Conf]
  96. Christopher K. I. Williams
    On a Connection between Kernel PCA and Metric Multidimensional Scaling. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:675-681 [Conf]
  97. Christopher K. I. Williams, Matthias Seeger
    Using the Nyström Method to Speed Up Kernel Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:682-688 [Conf]
  98. Jonathan S. Yedidia, William T. Freeman, Yair Weiss
    Generalized Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:689-695 [Conf]
  99. Richard S. Zemel, Toniann Pitassi
    A Gradient-Based Boosting Algorithm for Regression Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:696-702 [Conf]
  100. Tong Zhang
    Regularized Winnow Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:703-709 [Conf]
  101. David Hsu, Miguel Figueroa, Chris Diorio
    A Silicon Primitive for Competitive Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:713-719 [Conf]
  102. Hiroyuki Kurino, M. Nakagawa, Kang Wook Lee, Tomonori Nakamura, Yuusuke Yamada, Ki Tae Park, Mitsumasa Koyanagi
    Smart Vision Chip Fabricated Using Three Dimensional Integration Technology. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:720-726 [Conf]
  103. Shih-Chii Liu, Bradley A. Minch
    Homeostasis in a Silicon Integrate and Fire Neuron. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:727-733 [Conf]
  104. Fernando Pérez-Cruz, Pedro Luis Alarcón-Diana, Angel Navia-Vázquez, Antonio Artés-Rodríguez
    Fast Training of Support Vector Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:734-740 [Conf]
  105. Susanne Still, Bernhard Schölkopf, Klaus Hepp, Rodney J. Douglas
    Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:741-747 [Conf]
  106. Hervé Bourlard, Samy Bengio, Katrin Weber
    New Approaches Towards Robust, Adaptive Speech Recognition (invited paper). [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:751-757 [Conf]
  107. Hagai Attias, John C. Platt, Alex Acero, Li Deng
    Speech Denoising and Dereverberation Using Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:758-764 [Conf]
  108. Un-Min Bae, Soo-Young Lee
    Combining ICA and Top-Down Attention for Robust Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:765-771 [Conf]
  109. John W. Fisher III, Trevor Darrell, William T. Freeman, Paul A. Viola
    Learning Joint Statistical Models for Audio-Visual Fusion and Segregation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:772-778 [Conf]
  110. Mark J. F. Gales
    Factored Semi-Tied Covariance Matrices. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:779-785 [Conf]
  111. Lucas C. Parra, Clay Spence, Paul Sajda
    Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:786-792 [Conf]
  112. Sam T. Roweis
    One Microphone Source Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:793-799 [Conf]
  113. George Saon, Mukund Padmanabhan
    Minimum Bayes Error Feature Selection for Continuous Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:800-806 [Conf]
  114. Lawrence K. Saul, Jont B. Allen
    Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:807-813 [Conf]
  115. Malcolm Slaney, Michele Covell
    FaceSync: A Linear Operator for Measuring Synchronization of Video Facial Images and Audio Tracks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:814-820 [Conf]
  116. Jürgen Tchorz, Michael Kleinschmidt, Birger Kollmeier
    Noise Suppression Based on Neurophysiologically-motivated SNR Estimation for Robust Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:821-827 [Conf]
  117. Serge Belongie, Jitendra Malik, Jan Puzicha
    Shape Context: A New Descriptor for Shape Matching and Object Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:831-837 [Conf]
  118. Rafal Bogacz, Malcolm W. Brown, Christophe G. Giraud-Carrier
    Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:838-844 [Conf]
  119. James M. Coughlan, Alan L. Yuille
    The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:845-851 [Conf]
  120. Frank Dellaert, Steven M. Seitz, Sebastian Thrun, Charles E. Thorpe
    Feature Correspondence: A Markov Chain Monte Carlo Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:852-858 [Conf]
  121. Trausti T. Kristjansson, Brendan J. Frey
    Keeping Flexible Active Contours on Track using Metropolis Updates. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:859-865 [Conf]
  122. Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
    Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:866-872 [Conf]
  123. Marina Meila, Jianbo Shi
    Learning Segmentation by Random Walks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:873-879 [Conf]
  124. Javier R. Movellan, Paul Mineiro, Ruth J. Williams
    Partially Observable SDE Models for Image Sequence Recognition Tasks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:880-886 [Conf]
  125. Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki
    Learning Sparse Image Codes using a Wavelet Pyramid Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:887-893 [Conf]
  126. Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie
    Learning and Tracking Cyclic Human Motion. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:894-900 [Conf]
  127. Penio S. Penev
    Redundancy and Dimensionality Reduction in Sparse-Distributed Representations of Natural Objects in Terms of Their Local Features. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:901-907 [Conf]
  128. Yee Whye Teh, Geoffrey E. Hinton
    Rate-coded Restricted Boltzmann Machines for Face Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:908-914 [Conf]
  129. Barbara Zenger, Christof Koch
    Divisive and Subtractive Mask Effects: Linking Psychophysics and Biophysics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:915-921 [Conf]
  130. Cynthia Archer, Todd K. Leen
    From Mixtures of Mixtures to Adaptive Transform Coding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:925-931 [Conf]
  131. Yoshua Bengio, Réjean Ducharme, Pascal Vincent
    A Neural Probabilistic Language Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:932-938 [Conf]
  132. Michael S. Gray, Terrence J. Sejnowski, Javier R. Movellan
    A Comparison of Image Processing Techniques for Visual Speech Recognition Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:939-945 [Conf]
  133. Paul Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis
    Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:946-952 [Conf]
  134. Guy Mayraz, Geoffrey E. Hinton
    Recognizing Hand-written Digits Using Hierarchical Products of Experts. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:953-959 [Conf]
  135. Baback Moghaddam, Ming-Hsuan Yang
    Sex with Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:960-966 [Conf]
  136. Milind R. Naphade, Igor Kozintsev, Thomas S. Huang
    Probabilistic Semantic Video Indexing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:967-973 [Conf]
  137. Predrag Neskovic, Philip C. Davis, Leon N. Cooper
    Interactive Parts Model: An Application to Recognition of On-line Cursive Script. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:974-980 [Conf]
  138. Vladimir Pavlovic, James M. Rehg, John MacCormick
    Learning Switching Linear Models of Human Motion. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:981-987 [Conf]
  139. Liam Pedersen, Dimitrios Apostolopoulos, William Whittaker
    Bayes Networks on Ice: Robotic Search for Antarctic Meteorites. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:988-994 [Conf]
  140. Vasin Punyakanok, Dan Roth
    The Use of Classifiers in Sequential Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:995-1001 [Conf]
  141. Arno Schödl, Irfan A. Essa
    Machine Learning for Video-Based Rendering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1002-1008 [Conf]
  142. Nuno Vasconcelos, Andrew Lippman
    Bayesian Video Shot Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1009-1015 [Conf]
  143. David Andre, Stuart J. Russell
    Programmable Reinforcement Learning Agents. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1019-1025 [Conf]
  144. Justin A. Boyan, Michael L. Littman
    Exact Solutions to Time-Dependent MDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1026-1032 [Conf]
  145. Jakob Carlström
    Decomposition of Reinforcement Learning for Admission Control of Self-Similar Call Arrival Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1033-1039 [Conf]
  146. Geoffrey J. Gordon
    Reinforcement Learning with Function Approximation Converges to a Region. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1040-1046 [Conf]
  147. Natalia Hernandez-Gardiol, Sridhar Mahadevan
    Hierarchical Memory-Based Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1047-1053 [Conf]
  148. Anders Jonsson, Andrew G. Barto
    Automated State Abstraction for Options using the U-Tree Algorithm. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1054-1060 [Conf]
  149. Jun Morimoto, Kenji Doya
    Robust Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1061-1067 [Conf]
  150. Dirk Ormoneit, Peter W. Glynn
    Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1068-1074 [Conf]
  151. Brian Sallans, Geoffrey E. Hinton
    Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1075-1081 [Conf]
  152. Christian R. Shelton
    Balancing Multiple Sources of Reward in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1082-1088 [Conf]
  153. Robert St-Aubin, Jesse Hoey, Craig Boutilier
    APRICODD: Approximate Policy Construction Using Decision Diagrams. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:1089-1095 [Conf]
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
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