The SCEAS System
Navigation Menu

Conferences in DBLP

Neural Information Processing Systems (NIPS) (nips)
2004 (conf/nips/2004)

  1. Angela J. Yu, Peter Dayan
    Inference, Attention, and Decision in a Bayesian Neural Architecture. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  2. François Rivest, Yoshua Bengio, John Kalaska
    Brain Inspired Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  3. Laura Walker Renninger, James M. Coughlan, Preeti Verghese, Jitendra Malik
    An Information Maximization Model of Eye Movements. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  4. Baranidharan Raman, Ricardo Gutierrez-Osuna
    Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  5. Ariadna Quattoni, Michael Collins, Trevor Darrell
    Conditional Random Fields for Object Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  6. Rob Powers, Yoav Shoham
    New Criteria and a New Algorithm for Learning in Multi-Agent Systems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  7. Pascal Poupart, Craig Boutilier
    VDCBPI: an Approximate Scalable Algorithm for Large POMDPs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  8. Dan Pelleg, Andrew W. Moore
    Active Learning for Anomaly and Rare-Category Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  9. Dori Peleg, Ron Meir
    A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  10. Massimiliano Pavan, Marcello Pelillo
    Efficient Out-of-Sample Extension of Dominant-Set Clusters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  11. David C. Parkes, Satinder P. Singh, Dimah Yanovsky
    Approximately Efficient Online Mechanism Design. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  12. Peng Xu, Frederick Jelinek
    Using Random Forests in the Structured Language Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  13. Khashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen
    Coarticulation in Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  14. Sajama, Alon Orlitsky
    Semi-parametric Exponential Family PCA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  15. Clayton Scott, Robert Nowak
    On the Adaptive Properties of Decision Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  16. Odelia Schwartz, Terrence J. Sejnowski, Peter Dayan
    Assignment of Multiplicative Mixtures in Natural Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  17. Anton Schwaighofer, Volker Tresp, Kai Yu
    Learning Gaussian Process Kernels via Hierarchical Bayes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  18. Felix Schürmann, Karlheinz Meier, Johannes Schemmel
    Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  19. Bernhard Schölkopf, Joachim Giesen, Simon Spalinger
    Kernel Methods for Implicit Surface Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  20. Volker Roth
    Outlier Detection with One-class Kernel Fisher Discriminants. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  21. Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie
    A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  22. Sunita Sarawagi, William W. Cohen
    Semi-Markov Conditional Random Fields for Information Extraction. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  23. Saharon Rosset
    Following Curved Regularized Optimization Solution Paths. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  24. Lorenzo Rosasco, Andrea Caponnetto, Ernesto De Vito, Francesca Odone, Umberto De Giovannini
    Learning, Regularization and Ill-Posed Inverse Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  25. Hyun-Jin Park, Te-Won Lee
    Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  26. Rasmus Kongsgaard Olsson, Lars Kai Hansen
    A Harmonic Excitation State-Space Approach to Blind Separation of Speech. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  27. Liam Paninski
    Variational Minimax Estimation of Discrete Distributions under KL Loss. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  28. Marcelo A. Montemurro, Stefano Panzeri
    Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  29. Johannes Mohr, Klaus Obermayer
    A Topographic Support Vector Machine: Classification Using Local Label Configurations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  30. Andrew McCallum, Ben Wellner
    Conditional Models of Identity Uncertainty with Application to Noun Coreference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  31. Yoshitatsu Matsuda, Kazunori Yamaguchi
    Linear Multilayer Independent Component Analysis for Large Natural Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  32. Ulrike von Luxburg, Olivier Bousquet, Mikhail Belkin
    Limits of Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  33. Tim K. Marks, John Hershey, J. Cooper Roddey, Javier R. Movellan
    Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  34. Zhengdong Lu, Todd K. Leen
    Semi-supervised Learning with Penalized Probabilistic Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  35. Le Lu, Gregory D. Hager, Laurent Younes
    A Three Tiered Approach for Articulated Object Action Modeling and Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  36. Philip M. Long, Xinyu Wu
    Mistake Bounds for Maximum Entropy Discrimination. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  37. Mario Marchand, Mohak Shah
    PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  38. Joris M. Mooij, Hilbert J. Kappen
    Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  39. Pierre Moreels, Pietro Perona
    Common-Frame Model for Object Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  40. Roland Memisevic, Geoffrey E. Hinton
    Multiple Relational Embedding. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  41. Liam Paninski
    Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  42. Sean O'Rourke, Gal Chechik, Robin Friedman, Eleazar Eskin
    Discrete profile alignment via constrained information bottleneck. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  43. Margarita Osadchy, Matthew L. Miller, Yann LeCun
    Synergistic Face Detection and Pose Estimation with Energy-Based Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  44. Rajesh P. N. Rao
    Hierarchical Bayesian Inference in Networks of Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  45. Finn Årup Nielsen
    Mass Meta-analysis in Talairach Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  46. Manfred Opper, Ole Winther
    Expectation Consistent Free Energies for Approximate Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  47. Andrew Y. Ng, H. Jin Kim
    Stable adaptive control with online learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  48. Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell
    Detecting Significant Multidimensional Spatial Clusters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  49. Mukund Narasimhan, Jeff A. Bilmes
    Optimal sub-graphical models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  50. Charles A. Micchelli, Massimiliano Pontil
    Kernels for Multi--task Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  51. Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Yang
    An Investigation of Practical Approximate Nearest Neighbor Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  52. Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia, Yoram Singer
    A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  53. Laurent Zwald, Régis Vert, Gilles Blanchard, Pascal Massart
    Kernel Projection Machine: a New Tool for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  54. Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky
    Efficient Kernel Discriminant Analysis via QR Decomposition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  55. K. Y. Michael Wong, S. W. Lim, Zhuo Gao
    Multi-agent Cooperation in Diverse Population Games. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  56. David P. Wipf, Bhaskar D. Rao
    L_0-norm Minimization for Basis Selection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  57. John M. Winn, Andrew Blake
    Generative Affine Localisation and Tracking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  58. Oliver M. C. Williams, Andrew Blake, Roberto Cipolla
    The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  59. Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf
    Machine Learning Applied to Perception: Decision Images for Gender Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  60. Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton
    Exponential Family Harmoniums with an Application to Information Retrieval. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  61. Jing Wang, Zhenyue Zhang, Hongyuan Zha
    Adaptive Manifold Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  62. Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag
    Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  63. R. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings
    Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  64. Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans
    Maximum Margin Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  65. Xiang Yan, Persi Diaconis, Paat Rusmevichientong, Benjamin Van Roy
    Solitaire: Man Versus Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  66. Changjiang Yang, Ramani Duraiswami, Larry S. Davis
    Efficient Kernel Machines Using the Improved Fast Gauss Transform. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  67. Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
    A Direct Formulation for Sparse PCA Using Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  68. Xiaojin Zhu, Jaz S. Kandola, Zoubin Ghahramani, John D. Lafferty
    Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  69. Dengyong Zhou, Bernhard Schölkopf, Thomas Hofmann
    Semi-supervised Learning on Directed Graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  70. Jian Zhang, Zoubin Ghahramani, Yiming Yang
    A Probabilistic Model for Online Document Clustering with Application to Novelty Detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  71. Tong Zhang
    Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  72. Richard S. Zemel, Quentin J. M. Huys, Rama Natarajan, Peter Dayan
    Probabilistic Computation in Spiking Populations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  73. Lihi Zelnik-Manor, Pietro Perona
    Self-Tuning Spectral Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  74. Alan L. Yuille
    The Convergence of Contrastive Divergences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  75. Alan L. Yuille
    The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  76. Jieping Ye, Ravi Janardan, Qi Li
    Two-Dimensional Linear Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  77. Shyam Visweswaran, Gregory F. Cooper
    Instance-Specific Bayesian Model Averaging for Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  78. S. V. N. Vishwanathan, Alex J. Smola
    Binet-Cauchy Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  79. Jean-Philippe Vert, Yoshihiro Yamanishi
    Supervised Graph Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  80. Nathan Srebro, Noga Alon, Tommi Jaakkola
    Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  81. Peter Sollich, Christopher K. I. Williams
    Using the Equivalent Kernel to Understand Gaussian Process Regression. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  82. Jan Erik Solem, Fredrik Kahl
    Surface Reconstruction using Learned Shape Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  83. Rion Snow, Daniel Jurafsky, Andrew Y. Ng
    Learning Syntactic Patterns for Automatic Hypernym Discovery. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  84. Evan C. Smith, Michael S. Lewicki
    Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  85. Satinder P. Singh, Andrew G. Barto, Nuttapong Chentanez
    Intrinsically Motivated Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  86. Pradeep Shenoy, Rajesh P. N. Rao
    Dynamic Bayesian Networks for Brain-Computer Interfaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  87. Amnon Shashua, Tamir Hazan
    Algebraic Set Kernels with Application to Inference Over Local Image Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  88. Guy Shani, Ronen I. Brafman
    Resolving Perceptual Aliasing In The Presence Of Noisy Sensors. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  89. Ofer Shai, Brendan J. Frey, Quaid Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe
    Probabilistic Inference of Alternative Splicing Events in Microarray Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  90. Nathan Srebro, Jason D. M. Rennie, Tommi Jaakkola
    Maximum-Margin Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  91. Ingo Steinwart, Don R. Hush, Clint Scovel
    Density Level Detection is Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  92. Ingo Steinwart, Clint Scovel
    Fast Rates to Bayes for Kernel Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  93. Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth
    Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  94. Jochen Triesch
    Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  95. Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner
    Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  96. Antonio B. Torralba, Kevin P. Murphy, William T. Freeman
    Contextual Models for Object Detection Using Boosted Random Fields. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  97. Peter M. Todd, Anja Dieckmann
    Heuristics for Ordering Cue Search in Decision Making. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  98. Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, David M. Blei
    Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  99. Richard S. Sutton, Brian Tanner
    Temporal-Difference Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  100. Erik B. Sudderth, Michael I. Mandel, William T. Freeman, Alan S. Willsky
    Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  101. Alan Stocker, Eero P. Simoncelli
    Constraining a Bayesian Model of Human Visual Speed Perception. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  102. David H. Stern, Thore Graepel, David J. C. MacKay
    Modelling Uncertainty in the Game of Go. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  103. Fei Sha, Lawrence K. Saul
    Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  104. Wolfgang Maass, Robert A. Legenstein, Nils Bertschinger
    Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  105. Daniela Pucci de Farias, Nimrod Megiddo
    Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  106. Adrian Corduneanu, Tommi Jaakkola
    Distributed Information Regularization on Graphs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  107. Michael D. Colagrosso, Michael C. Mozer
    Theories of Access Consciousness. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  108. Tanzeem Choudhury, Sumit Basu
    Modeling Conversational Dynamics as a Mixed-Memory Markov Process. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  109. Chakra Chennubhotla, Allan D. Jepson
    Hierarchical Eigensolver for Transition Matrices in Spectral Methods. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  110. Kumar Chellapilla, Patrice Y. Simard
    Using Machine Learning to Break Visual Human Interaction Proofs (HIPs). [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  111. Olivier Chapelle, Zaid Harchaoui
    A Machine Learning Approach to Conjoint Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  112. Shantanu Chakrabartty, Gert Cauwenberghs
    Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  113. Nicolò Cesa-Bianchi, Claudio Gentile, Luca Zaniboni
    Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  114. Nicolò Cesa-Bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni
    Incremental Algorithms for Hierarchical Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  115. Miguel Á. Carreira-Perpiñán, Richard S. Zemel
    Proximity Graphs for Clustering and Manifold Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  116. Corinna Cortes, Mehryar Mohri
    Confidence Intervals for the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  117. Aaron C. Courville, Nathaniel D. Daw, David S. Touretzky
    Similarity and Discrimination in Classical Conditioning: A Latent Variable Account. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  118. Juan José del Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Carlos Sañudo
    Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  119. Eyal Even-Dar, Sham M. Kakade, Yishay Mansour
    Experts in a Markov Decision Process. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  120. Alexei A. Efros, Volkan Isler, Jianbo Shi, Mirkó Visontai
    Seeing through water. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  121. Jaety Edwards, Yee Whye Teh, David A. Forsyth, Roger Bock, Michael Maire, Grace Vesom
    Making Latin Manuscripts Searchable using gHMMs. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  122. Eizaburo Doi, Michael S. Lewicki
    Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  123. Frank DiMaio, Jude W. Shavlik, George N. Phillips
    Pictorial Structures for Molecular Modeling: Interpreting Density Maps. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  124. Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
    Triangle Fixing Algorithms for the Metric Nearness Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  125. Sophie Deneve
    Bayesian inference in spiking neurons. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  126. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
    The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  127. Sanjoy Dasgupta
    Analysis of a greedy active learning strategy. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  128. Marco Cuturi, Jean-Philippe Vert
    Semigroup Kernels on Finite Sets. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  129. Phillip Boyle, Marcus R. Frean
    Dependent Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  130. Michael Bowling
    Convergence and No-Regret in Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  131. Sander M. Bohte, Michael C. Mozer
    Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  132. Francis R. Bach, Michael I. Jordan
    Blind One-microphone Speech Separation: A Spectral Learning Approach. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  133. Shai Avidan, Moshe Butman
    The power of feature clustering: An application to object detection. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  134. Erik Aurell, Uri Gordon, Scott Kirkpatrick
    Comparing Beliefs, Surveys, and Random Walks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  135. Moray Allan, Christopher K. I. Williams
    Harmonising Chorales by Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  136. Fabio Aiolli, Alessandro Sperduti
    Learning Preferences for Multiclass Problems. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  137. Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth
    A Large Deviation Bound for the Area Under the ROC Curve. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  138. Jinbo Bi, Tong Zhang
    Support Vector Classification with Input Data Uncertainty. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  139. Pieter Abbeel, Andrew Y. Ng
    Learning first-order Markov models for control. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  140. Pierre Baldi, Jianlin Cheng, Alessandro Vullo
    Large-Scale Prediction of Disulphide Bond Connectivity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  141. Maria-Florina Balcan, Avrim Blum, Ke Yang
    Co-Training and Expansion: Towards Bridging Theory and Practice. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  142. Francis R. Bach, Romain Thibaux, Michael I. Jordan
    Computing regularization paths for learning multiple kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  143. Dragomir Anguelov, Praveen Srinivasan, Hoi-Cheung Pang, Daphne Koller, Sebastian Thrun, James Davis
    The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  144. Aharon Bar-Hillel, Adam Spiro, Eran Stark
    Spike Sorting: Bayesian Clustering of Non-Stationary Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  145. Joseph Bockhorst, Mark Craven
    Markov Networks for Detecting Overalpping Elements in Sequence Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  146. John Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira
    Hierarchical Distributed Representations for Statistical Language Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  147. Tobias Blaschke, Laurenz Wiskott
    Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  148. Anthony J. Bell, Lucas C. Parra
    Maximising Sensitivity in a Spiking Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  149. Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka
    Responding to Modalities with Different Latencies. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  150. Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alex J. Smola
    A Second Order Cone programming Formulation for Classifying Missing Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  151. Nils Bertschinger, Thomas Natschläger, Robert A. Legenstein
    At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  152. Peter L. Bartlett, Michael Collins, Benjamin Taskar, David A. McAllester
    Exponentiated Gradient Algorithms for Large-margin Structured Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  153. Tamara L. Berg, Alexander C. Berg, Jaety Edwards, David A. Forsyth
    Whos In the Picture. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  154. Yoshua Bengio, Martin Monperrus
    Non-Local Manifold Tangent Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  155. Gökhan H. Bakir, Léon Bottou, Jason Weston
    Breaking SVM Complexity with Cross-Training. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  156. Daniela Pucci de Farias, Benjamin Van Roy
    A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  157. Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili
    Multiple Alignment of Continuous Time Series. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  158. Wojtek Kowalczyk, Nikos A. Vlassis
    Newscast EM. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  159. Vladimir Koltchinskii, Manel Martínez-Ramón, Stefan Posse
    Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  160. Robert D. Kleinberg
    Nearly Tight Bounds for the Continuum-Armed Bandit Problem. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  161. Einat Klein, Rachel Mislovaty, Ido Kanter, Andreas Ruttor, Wolfgang Kinzel
    Synchronization of neural networks by mutual learning and its application to cryptography. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  162. Jongmin Kim, John J. Hopfield, Erik Winfree
    Neural Network Computation by In Vitro Transcriptional Circuits. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  163. Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf
    Face Detection - Efficient and Rank Deficient. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  164. Sham M. Kakade, Andrew Y. Ng
    Online Bounds for Bayesian Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  165. Sham M. Kakade, Michael J. Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri
    Economic Properties of Social Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  166. Balázs Kégl, Ligen Wang
    Boosting on Manifolds: Adaptive Regularization of Base Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  167. Balázs Kégl
    Generalization Error and Algorithmic Convergence of Median Boosting. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  168. Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
    On Semi-Supervised Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  169. Taku Kudo, Eisaku Maeda, Yuji Matsumoto
    An Application of Boosting to Graph Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  170. Thomas Navin Lal, Thilo Hinterberger, Guido Widman, Michael Schröder 0002, N. Jeremy Hill, Wolfgang Rosenstiel, Christian Erich Elger, Bernhard Schölkopf, Niels Birbaumer
    Methods Towards Invasive Human Brain Computer Interfaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  171. Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
    Adaptive Discriminative Generative Model and Its Applications. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  172. Yuanqing Lin, Daniel D. Lee
    Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  173. Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang
    Incremental Learning for Visual Tracking. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  174. Omid Madani, David M. Pennock, Gary William Flake
    Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  175. Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun
    Planning for Markov Decision Processes with Sparse Stochasticity. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  176. Elizaveta Levina, Peter J. Bickel
    Maximum Likelihood Estimation of Intrinsic Dimension. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  177. Máté Lengyel, Peter Dayan
    Rate- and Phase-coded Autoassociative Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  178. Erik G. Learned-Miller, Parvez Ahammad
    Joint MRI Bias Removal Using Entropy Minimization Across Images. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  179. Neil D. Lawrence, Michael I. Jordan
    Semi-supervised Learning via Gaussian Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  180. Dustin Lang, Nando de Freitas
    Beat Tracking the Graphical Model Way. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  181. Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda
    Maximal Margin Labeling for Multi-Topic Text Categorization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  182. Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft
    The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  183. Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum
    Parametric Embedding for Class Visualization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  184. Jacob Goldberger, Sam T. Roweis
    Hierarchical Clustering of a Mixture Model. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  185. Amir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby
    Euclidean Embedding of Co-Occurrence Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  186. Giorgio Giacinto, Fabio Roli
    Instance-Based Relevance Feedback for Image Retrieval. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  187. Dashan Gao, Nuno Vasconcelos
    Discriminant Saliency for Visual Recognition from Cluttered Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  188. Scott Gaffney, Padhraic Smyth
    Joint Probabilistic Curve Clustering and Alignment. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  189. Matthias O. Franz, Bernhard Schölkopf
    Implicit Wiener Series for Higher-Order Image Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  190. Bernd Fischer, Volker Roth, Joachim M. Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer
    A Hidden Markov Model for de Novo Peptide Sequencing. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  191. Michael Fink 0002
    Object Classification from a Single Example Utilizing Class Relevance Metrics. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  192. Miguel Figueroa, Seth Bridges, Chris Diorio
    On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  193. Robert Fergus, Andrew Zisserman, Pietro Perona
    Sampling Methods for Unsupervised Learning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  194. Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov
    Neighbourhood Components Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  195. Hans Peter Graf, Eric Cosatto, Léon Bottou, Igor Dourdanovic, Vladimir Vapnik
    Parallel Support Vector Machines: The Cascade SVM. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  196. Yves Grandvalet, Yoshua Bengio
    Semi-supervised Learning by Entropy Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  197. Alexander T. Ihler, John W. Fisher III, Alan S. Willsky
    Message Errors in Belief Propagation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  198. Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
    A Generalized Bradley-Terry Model: From Group Competition to Individual Skill. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  199. Antti Honkela, Harri Valpola
    Unsupervised Variational Bayesian Learning of Nonlinear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  200. Michael P. Holmes, Charles Lee Isbell Jr.
    Schema Learning: Experience-Based Construction of Predictive Action Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  201. Constanze Hofstoetter, Manuel Gil, Kynan Eng, Giacomo Indiveri, Matti Mintz, Jörg Kramer, Paul F. M. J. Verschure
    The Cerebellum Chip: an Analog VLSI Implementation of a Cerebellar Model of Classical Conditioning. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  202. N. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Niels Birbaumer, Bernhard Schölkopf
    An Auditory Paradigm for Brain-Computer Interfaces. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  203. Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
    The Entire Regularization Path for the Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  204. Kosuke Hamaguchi, Masato Okada, Kazuyuki Aihara
    Theory of localized synfire chain: characteristic propagation speed of stable spike pattern. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  205. Isabelle Guyon, Steve R. Gunn, Asa Ben-Hur, Gideon Dror
    Result Analysis of the NIPS 2003 Feature Selection Challenge. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  206. Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum
    Integrating Topics and Syntax. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  207. Andras Ferencz, Erik G. Learned-Miller, Jitendra Malik
    Learning Hyper-Features for Visual Identification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [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
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002