NeurIPS 2004
207 papers
A Direct Formulation for Sparse PCA Using Semidefinite Programming
Alexandre D'aspremont, Laurent E. Ghaoui, Michael I. Jordan, Gert R. Lanckriet A Hidden Markov Model for De Novo Peptide Sequencing
Bernd Fischer, Volker Roth, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz Roos, Peter Widmayer, Joachim M. Buhmann A Large Deviation Bound for the Area Under the ROC Curve
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan Roth Adaptive Manifold Learning
Jing Wang, Zhenyue Zhang, Hongyuan Zha An Auditory Paradigm for Brain-Computer Interfaces
N. J. Hill, Thomas N. Lal, Karin Bierig, Niels Birbaumer, Bernhard Schölkopf An Information Maximization Model of Eye Movements
Laura W. Renninger, James M. Coughlan, Preeti Verghese, Jitendra Malik Approximately Efficient Online Mechanism Design
David C. Parkes, Dimah Yanovsky, Satinder P. Singh Binet-Cauchy Kernels
Alex J. Smola, S.v.n. Vishwanathan Brain Inspired Reinforcement Learning
Françcois Rivest, Yoshua Bengio, John Kalaska Breaking SVM Complexity with Cross-Training
Léon Bottou, Jason Weston, Gökhan H. Bakir Coarticulation in Markov Decision Processes
Khashayar Rohanimanesh, Robert Platt, Sridhar Mahadevan, Roderic Grupen Conditional Random Fields for Object Recognition
Ariadna Quattoni, Michael Collins, Trevor Darrell Dependent Gaussian Processes
Phillip Boyle, Marcus Frean Detecting Significant Multidimensional Spatial Clusters
Daniel B. Neill, Andrew W. Moore, Francisco Pereira, Tom M. Mitchell Economic Properties of Social Networks
Sham M. Kakade, Michael Kearns, Luis E. Ortiz, Robin Pemantle, Siddharth Suri Efficient Kernel Discriminant Analysis via QR Decomposition
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladimir Cherkassky Euclidean Embedding of Co-Occurrence Data
Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby Experts in a Markov Decision Process
Eyal Even-dar, Sham M. Kakade, Yishay Mansour Face Detection --- Efficient and Rank Deficient
Wolf Kienzle, Matthias O. Franz, Bernhard Schölkopf, Gökhan H. Bakir Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale
Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag Incremental Algorithms for Hierarchical Classification
Nicolò Cesa-bianchi, Claudio Gentile, Andrea Tironi, Luca Zaniboni Incremental Learning for Visual Tracking
Jongwoo Lim, David A. Ross, Ruei-sung Lin, Ming-Hsuan Yang Integrating Topics and Syntax
Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum Intrinsically Motivated Reinforcement Learning
Nuttapong Chentanez, Andrew G. Barto, Satinder P. Singh Kernel Methods for Implicit Surface Modeling
Joachim Giesen, Simon Spalinger, Bernhard Schölkopf Kernels for Multi--Task Learning
Charles A. Micchelli, Massimiliano Pontil Learning Hyper-Features for Visual Identification
Andras D. Ferencz, Erik G. Learned-miller, Jitendra Malik Learning, Regularization and Ill-Posed Inverse Problems
Lorenzo Rosasco, Andrea Caponnetto, Ernesto D. Vito, Francesca Odone, Umberto D. Giovannini Limits of Spectral Clustering
Ulrike V. Luxburg, Olivier Bousquet, Mikhail Belkin Machine Learning Applied to Perception: Decision Images for Gender Classification
Felix A. Wichmann, Arnulf B. Graf, Heinrich H. Bülthoff, Eero P. Simoncelli, Bernhard Schölkopf Making Latin Manuscripts Searchable Using gHMM's
Jaety Edwards, Yee W. Teh, Roger Bock, Michael Maire, Grace Vesom, David A. Forsyth Maximal Margin Labeling for Multi-Topic Text Categorization
Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda Maximum Margin Clustering
Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans Maximum-Margin Matrix Factorization
Nathan Srebro, Jason Rennie, Tommi S. Jaakkola Message Errors in Belief Propagation
Alexander T. Ihler, John W. Fisher, Alan S. Willsky Methods Towards Invasive Human Brain Computer Interfaces
Thomas N. Lal, Thilo Hinterberger, Guido Widman, Michael Schröder, N. J. Hill, Wolfgang Rosenstiel, Christian E. Elger, Niels Birbaumer, Bernhard Schölkopf Modelling Uncertainty in the Game of Go
David H. Stern, Thore Graepel, David MacKay Multiple Alignment of Continuous Time Series
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Andrew Emili Multiple Relational Embedding
Roland Memisevic, Geoffrey E. Hinton Neighbourhood Components Analysis
Jacob Goldberger, Geoffrey E. Hinton, Sam T. Roweis, Ruslan Salakhutdinov Newscast EM
Wojtek Kowalczyk, Nikos Vlassis On Semi-Supervised Classification
Balaji Krishnapuram, David Williams, Ya Xue, Lawrence Carin, Mário Figueiredo, Alexander J. Hartemink Optimal Sub-Graphical Models
Mukund Narasimhan, Jeff A. Bilmes Parallel Support Vector Machines: The Cascade SVM
Hans P. Graf, Eric Cosatto, Léon Bottou, Igor Dourdanovic, Vladimir Vapnik Parametric Embedding for Class Visualization
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum Probabilistic Computation in Spiking Populations
Richard S. Zemel, Rama Natarajan, Peter Dayan, Quentin J. Huys Probabilistic Inference of Alternative Splicing Events in Microarray Data
Ofer Shai, Brendan J. Frey, Quaid D. Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe Responding to Modalities with Different Latencies
Fredrik Bissmarck, Hiroyuki Nakahara, Kenji Doya, Okihide Hikosaka Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons
R. J. Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings Sampling Methods for Unsupervised Learning
Rob Fergus, Andrew Zisserman, Pietro Perona Seeing Through Water
Alexei Efros, Volkan Isler, Jianbo Shi, Mirkó Visontai Self-Tuning Spectral Clustering
Lihi Zelnik-manor, Pietro Perona Semi-Supervised Learning on Directed Graphs
Dengyong Zhou, Thomas Hofmann, Bernhard Schölkopf Semigroup Kernels on Finite Sets
Marco Cuturi, Jean-philippe Vert Solitaire: Man Versus Machine
Xiang Yan, Persi Diaconis, Paat Rusmevichientong, Benjamin V. Roy Supervised Graph Inference
Jean-philippe Vert, Yoshihiro Yamanishi Temporal-Difference Networks
Richard S. Sutton, Brian Tanner The Cerebellum Chip: An Analog VLSI Implementation of a Cerebellar Model of Classical Conditioning
Constanze Hofstoetter, Manuel Gil, Kynan Eng, Giacomo Indiveri, Matti Mintz, Jörg Kramer, Paul F. Verschure The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces
Dragomir Anguelov, Praveen Srinivasan, Hoi-cheung Pang, Daphne Koller, Sebastian Thrun, James Davis Theories of Access Consciousness
Michael D. Colagrosso, Michael Mozer Trait Selection for Assessing Beef Meat Quality Using Non-Linear SVM
Juan Coz, Gustavo F. Bayón, Jorge Díez, Oscar Luaces, Antonio Bahamonde, Carlos Sañudo Who's in the Picture
Tamara L. Berg, Alexander C. Berg, Jaety Edwards, David A. Forsyth