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An Improved Scheme for Detection and Labelling in Johansson Displays
Claudio Fanti, Marzia Polito and Pietro Perona
Advances in Neural Information Processing Systems 16, 2003


Bayesian Color Constancy with Non-Gaussian Models
Charles Rosenberg, Alok Ladsariya and Tom Minka
Advances in Neural Information Processing Systems 16, 2003


A Sampled Texture Prior for Image Super-Resolution
Lyndsey C. Pickup, Stephen J. Roberts and Andrew Zisserman
Advances in Neural Information Processing Systems 16, 2003


A Computational Geometric Approach to Shape Analysis in Images
Anuj Srivastava, Xiuwen Liu, Washington Mio and Eric Klassen
Advances in Neural Information Processing Systems 16, 2003


Salient Boundary Detection using Ratio Contour
Song Wang, Toshiro Kubota and Jeffrey M. Siskind
Advances in Neural Information Processing Systems 16, 2003



Gwen Littlewort, Marian S. Bartlett, Ian Fasel, Joel Chenu, Takayuki Kanda, Hiroshi Ishiguro and Javier R. Movellan
Advances in Neural Information Processing Systems 16, 2003


Learning Non-Rigid 3D Shape from 2D Motion
Lorenzo Torresani, Aaron Hertzmann and Christoph Bregler
Advances in Neural Information Processing Systems 16, 2003


Automatic Annotation of Everyday Movements
Deva Ramanan and David A. Forsyth
Advances in Neural Information Processing Systems 16, 2003


Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
Leonid Sigal, Michael Isard, Benjamin H. Sigelman and Michael J. Black
Advances in Neural Information Processing Systems 16, 2003


Discriminative Fields for Modeling Spatial Dependencies in Natural Images
Sanjiv Kumar and Martial Hebert
Advances in Neural Information Processing Systems 16, 2003


Learning a Rare Event Detection Cascade by Direct Feature Selection
Jianxin Wu, James M. Rehg and Matthew D. Mullin
Advances in Neural Information Processing Systems 16, 2003


Mutual Boosting for Contextual Inference
Michael Fink and Pietro Perona
Advances in Neural Information Processing Systems 16, 2003


Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence
Amit Gruber and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Graphical Model For Recognizing Scenes and Objects
Antonio Torralba, William T. Freeman and Kevin P. Murphy
Advances in Neural Information Processing Systems 16, 2003


Discriminating Deformable Shape Classes
Salvador Ruiz-correa, Linda G. Shapiro, Marina Meila and Gabriel Berson
Advances in Neural Information Processing Systems 16, 2003


Bounded Invariance and the Formation of Place Fields
Reto Wyss and Paul F. Verschure
Advances in Neural Information Processing Systems 16, 2003


Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina
Matthias H. Hennig and Florentin Wörgötter
Advances in Neural Information Processing Systems 16, 2003


Eye Movements for Reward Maximization
Nathan Sprague and Dana Ballard
Advances in Neural Information Processing Systems 16, 2003


Human and Ideal Observers for Detecting Image Curves
Fang Fang, Daniel Kersten, Paul R. Schrater and Alan L. Yuille
Advances in Neural Information Processing Systems 16, 2003


A Functional Architecture for Motion Pattern Processing in MSTd
Scott A. Beardsley and Lucia M. Vaina
Advances in Neural Information Processing Systems 16, 2003


Nonlinear Processing in LGN Neurons
Vincent Bonin, Valerio Mante and Matteo Carandini
Advances in Neural Information Processing Systems 16, 2003


Local Phase Coherence and the Perception of Blur
Zhou Wang and Eero P. Simoncelli
Advances in Neural Information Processing Systems 16, 2003


A Classification-based Cocktail-party Processor
Nicoleta Roman, Deliang Wang and Guy J. Brown
Advances in Neural Information Processing Systems 16, 2003


One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals
Tomohiro Nakatani, Masato Miyoshi and Keisuke Kinoshita
Advances in Neural Information Processing Systems 16, 2003


Predicting Speech Intelligibility from a Population of Neurons
Jeff Bondy, Ian Bruce, Suzanna Becker and Simon Haykin
Advances in Neural Information Processing Systems 16, 2003


Eigenvoice Speaker Adaptation via Composite Kernel PCA
James T. Kwok, Brian Mak and Simon Ho
Advances in Neural Information Processing Systems 16, 2003


Probabilistic Inference of Speech Signals from Phaseless Spectrograms
Kannan Achan, Sam T. Roweis and Brendan J. Frey
Advances in Neural Information Processing Systems 16, 2003


A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications
Pedro J. Moreno, Purdy P. Ho and Nuno Vasconcelos
Advances in Neural Information Processing Systems 16, 2003


Phonetic Speaker Recognition with Support Vector Machines
William M. Campbell, Joseph P. Campbell, Douglas A. Reynolds, Douglas A. Jones and Timothy R. Leek
Advances in Neural Information Processing Systems 16, 2003


Prediction on Spike Data Using Kernel Algorithms
Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Jason Weston, Nikos Logothetis, Bernhard Schölkopf and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
Ryan Kelly and Tai S. Lee
Advances in Neural Information Processing Systems 16, 2003


A Probabilistic Model of Auditory Space Representation in the Barn Owl
Brian J. Fischer and Charles H. Anderson
Advances in Neural Information Processing Systems 16, 2003


Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics
Bernd Porr, Ausra Saudargiene and Florentin Wörgötter
Advances in Neural Information Processing Systems 16, 2003


Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter
Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda and Minoru Kimura
Advances in Neural Information Processing Systems 16, 2003


Probabilistic Inference in Human Sensorimotor Processing
Konrad P. Körding and Daniel Wolpert
Advances in Neural Information Processing Systems 16, 2003


Design of Experiments via Information Theory
Liam Paninski
Advances in Neural Information Processing Systems 16, 2003


Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Liam Paninski, Eero P. Simoncelli and Jonathan W. Pillow
Advances in Neural Information Processing Systems 16, 2003


Plasticity Kernels and Temporal Statistics
Peter Dayan and Michael Häusser
Advances in Neural Information Processing Systems 16, 2003


Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?
Yoichi Miyawaki and Masato Okada
Advances in Neural Information Processing Systems 16, 2003


A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning
Maneesh Sahani
Advances in Neural Information Processing Systems 16, 2003


Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans
Nathan A. Dunn, John S. Conery and Shawn R. Lockery
Advances in Neural Information Processing Systems 16, 2003


Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory
Aaron J. Gruber, Peter Dayan, Boris S. Gutkin and Sara A. Solla
Advances in Neural Information Processing Systems 16, 2003


The Diffusion-Limited Biochemical Signal-Relay Channel
Peter J. Thomas, Donald J. Spencer, Sierra K. Hampton, Peter Park and Joseph P. Zurkus
Advances in Neural Information Processing Systems 16, 2003


Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
Thomas Natschläger and Wolfgang Maass
Advances in Neural Information Processing Systems 16, 2003


The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity
Yuval Aviel, David Horn and Moshe Abeles
Advances in Neural Information Processing Systems 16, 2003


Margin Maximizing Loss Functions
Saharon Rosset, Ji Zhu and Trevor J. Hastie
Advances in Neural Information Processing Systems 16, 2003


Online Passive-Aggressive Algorithms
Shai Shalev-shwartz, Koby Crammer, Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 16, 2003


Measure Based Regularization
Olivier Bousquet, Olivier Chapelle and Matthias Hein
Advances in Neural Information Processing Systems 16, 2003


Information Bottleneck for Gaussian Variables
Gal Chechik, Amir Globerson, Naftali Tishby and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Ambiguous Model Learning Made Unambiguous with 1/f Priors
Gurinder S. Atwal and William Bialek
Advances in Neural Information Processing Systems 16, 2003


Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Justin Werfel, Xiaohui Xie and H. S. Seung
Advances in Neural Information Processing Systems 16, 2003


Approximate Analytical Bootstrap Averages for Support Vector Classifiers
Dörthe Malzahn and Manfred Opper
Advances in Neural Information Processing Systems 16, 2003


Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA
David Hoyle and Magnus Rattray
Advances in Neural Information Processing Systems 16, 2003


Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates
Peter L. Bartlett, Michael I. Jordan and Jon D. Mcauliffe
Advances in Neural Information Processing Systems 16, 2003


Geometric Clustering Using the Information Bottleneck Method
Susanne Still, William Bialek and Léon Bottou
Advances in Neural Information Processing Systems 16, 2003


Variational Linear Response
Manfred Opper and Ole Winther
Advances in Neural Information Processing Systems 16, 2003


Learning Bounds for a Generalized Family of Bayesian Posterior Distributions
Tong Zhang
Advances in Neural Information Processing Systems 16, 2003


When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
David Donoho and Victoria Stodden
Advances in Neural Information Processing Systems 16, 2003


Self-calibrating Probability Forecasting
Vladimir Vovk, Glenn Shafer and Ilia Nouretdinov
Advances in Neural Information Processing Systems 16, 2003


PAC-Bayesian Generic Chaining
Jean-yves Audibert and Olivier Bousquet
Advances in Neural Information Processing Systems 16, 2003


Near-Minimax Optimal Classification with Dyadic Classification Trees
Clayton Scott and Robert Nowak
Advances in Neural Information Processing Systems 16, 2003


Boosting versus Covering
Kohei Hatano and Manfred K. Warmuth
Advances in Neural Information Processing Systems 16, 2003


On the Dynamics of Boosting
Cynthia Rudin, Ingrid Daubechies and Robert E. Schapire
Advances in Neural Information Processing Systems 16, 2003


Online Learning of Non-stationary Sequences
Claire Monteleoni and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


Error Bounds for Transductive Learning via Compression and Clustering
Philip Derbeko, Ran El-yaniv and Ron Meir
Advances in Neural Information Processing Systems 16, 2003


An Infinity-sample Theory for Multi-category Large Margin Classification
Tong Zhang
Advances in Neural Information Processing Systems 16, 2003


Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
Ingo Steinwart
Advances in Neural Information Processing Systems 16, 2003


A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell
Bertram E. Shi and Eric K. Tsang
Advances in Neural Information Processing Systems 16, 2003


Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control
Francesco Tenore, Ralph Etienne-cummings and M. A. Lewis
Advances in Neural Information Processing Systems 16, 2003


A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors
Masakazu Yagi, Hideo Yamasaki and Tadashi Shibata
Advances in Neural Information Processing Systems 16, 2003


Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
Adria Bofill-i-petit and Alan F. Murray
Advances in Neural Information Processing Systems 16, 2003


Training a Quantum Neural Network
Bob Ricks and Dan Ventura
Advances in Neural Information Processing Systems 16, 2003


Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons
Hsin Chen, Patrice Fleury and Alan F. Murray
Advances in Neural Information Processing Systems 16, 2003


A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems
Rock Z. Shi and Timothy K. Horiuchi
Advances in Neural Information Processing Systems 16, 2003


A Recurrent Model of Orientation Maps with Simple and Complex Cells
Paul Merolla and Kwabena A. Boahen
Advances in Neural Information Processing Systems 16, 2003


A Low-Power Analog VLSI Visual Collision Detector
Reid R. Harrison
Advances in Neural Information Processing Systems 16, 2003


Model Uncertainty in Classical Conditioning
Aaron C. Courville, Geoffrey J. Gordon, David S. Touretzky and Nathaniel D. Daw
Advances in Neural Information Processing Systems 16, 2003


A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments
Yuuya Sugita and Jun Tani
Advances in Neural Information Processing Systems 16, 2003


Unsupervised Context Sensitive Language Acquisition from a Large Corpus
Zach Solan, David Horn, Eytan Ruppin and Shimon Edelman
Advances in Neural Information Processing Systems 16, 2003


From Algorithmic to Subjective Randomness
Thomas L. Griffiths and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 16, 2003


Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors
D. Philipona, J.k. O'regan, J.-p. Nadal and Olivier Coenen
Advances in Neural Information Processing Systems 16, 2003


An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science
Woojae Kim, Daniel J. Navarro, Mark A. Pitt and In J. Myung
Advances in Neural Information Processing Systems 16, 2003


Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
Marc Toussaint
Advances in Neural Information Processing Systems 16, 2003


Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
Artur Garcez and Luis C. Lamb
Advances in Neural Information Processing Systems 16, 2003


Sensory Modality Segregation
Virginia Sa
Advances in Neural Information Processing Systems 16, 2003


Insights from Machine Learning Applied to Human Visual Classification
Felix A. Wichmann and Arnulf B. Graf
Advances in Neural Information Processing Systems 16, 2003


Linear Program Approximations for Factored Continuous-State Markov Decision Processes
Milos Hauskrecht and Branislav Kveton
Advances in Neural Information Processing Systems 16, 2003


Distributed Optimization in Adaptive Networks
Ciamac C. Moallemi and Benjamin V. Roy
Advances in Neural Information Processing Systems 16, 2003


Auction Mechanism Design for Multi-Robot Coordination
Curt Bererton, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Extending Q-Learning to General Adaptive Multi-Agent Systems
Gerald Tesauro
Advances in Neural Information Processing Systems 16, 2003


Learning Near-Pareto-Optimal Conventions in Polynomial Time
Xiaofeng Wang and Tuomas Sandholm
Advances in Neural Information Processing Systems 16, 2003


A Nonlinear Predictive State Representation
Matthew R. Rudary and Satinder P. Singh
Advances in Neural Information Processing Systems 16, 2003


Approximate Policy Iteration with a Policy Language Bias
Alan Fern, Sungwook Yoon and Robert Givan
Advances in Neural Information Processing Systems 16, 2003


Robustness in Markov Decision Problems with Uncertain Transition Matrices
Arnab Nilim and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 16, 2003


Policy Search by Dynamic Programming
J. A. Bagnell, Sham M. Kakade, Jeff G. Schneider and Andrew Y. Ng
Advances in Neural Information Processing Systems 16, 2003


Bounded Finite State Controllers
Pascal Poupart and Craig Boutilier
Advances in Neural Information Processing Systems 16, 2003


How to Combine Expert (and Novice) Advice when Actions Impact the Environment?
Nimrod Megiddo and Daniela D. Farias
Advances in Neural Information Processing Systems 16, 2003


All learning is Local: Multi-agent Learning in Global Reward Games
Yu-han Chang, Tracey Ho and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 16, 2003


Autonomous Helicopter Flight via Reinforcement Learning
H. J. Kim, Michael I. Jordan, Shankar Sastry and Andrew Y. Ng
Advances in Neural Information Processing Systems 16, 2003


An MDP-Based Approach to Online Mechanism Design
David C. Parkes and Satinder P. Singh
Advances in Neural Information Processing Systems 16, 2003


Envelope-based Planning in Relational MDPs
Natalia H. Gardiol and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 16, 2003


Approximate Planning in POMDPs with Macro-Actions
Georgios Theocharous and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 16, 2003


ARA*: Anytime A* with Provable Bounds on Sub-Optimality
Maxim Likhachev, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Applying Metric-Trees to Belief-Point POMDPs
Joelle Pineau, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Gaussian Processes in Reinforcement Learning
Malte Kuss and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron
Sung C. Jun and Barak A. Pearlmutter
Advances in Neural Information Processing Systems 16, 2003


Increase Information Transfer Rates in BCI by CSP Extension to Multi-class
Guido Dornhege, Benjamin Blankertz, Gabriel Curio and Klaus-robert Müller
Advances in Neural Information Processing Systems 16, 2003


Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface
Yu Zhou, Steven G. Mason and Gary E. Birch
Advances in Neural Information Processing Systems 16, 2003


Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression
Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen and Klaus Obermayer
Advances in Neural Information Processing Systems 16, 2003


Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects
Xuerui Wang, Rebecca A. Hutchinson and Tom M. Mitchell
Advances in Neural Information Processing Systems 16, 2003


Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales
Saori C. Tanaka, Kenji Doya, Go Okada, Kazutaka Ueda, Yasumasa Okamoto and Shigeto Yamawaki
Advances in Neural Information Processing Systems 16, 2003


Reconstructing MEG Sources with Unknown Correlations
Maneesh Sahani and Srikantan S. Nagarajan
Advances in Neural Information Processing Systems 16, 2003


Gene Expression Clustering with Functional Mixture Models
Darya Chudova, Christopher Hart, Eric Mjolsness and Padhraic Smyth
Advances in Neural Information Processing Systems 16, 2003


ICA-based Clustering of Genes from Microarray Expression Data
Su-in Lee and Serafim Batzoglou
Advances in Neural Information Processing Systems 16, 2003


Unsupervised Color Decomposition Of Histologically Stained Tissue Samples
Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price and Serge J. Belongie
Advances in Neural Information Processing Systems 16, 2003


Link Prediction in Relational Data
Ben Taskar, Ming-fai Wong, Pieter Abbeel and Daphne Koller
Advances in Neural Information Processing Systems 16, 2003


A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters
Daniel B. Neill and Andrew W. Moore
Advances in Neural Information Processing Systems 16, 2003


Kernels for Structured Natural Language Data
Jun Suzuki, Yutaka Sasaki and Eisaku Maeda
Advances in Neural Information Processing Systems 16, 2003


Application of SVMs for Colour Classification and Collision Detection with AIBO Robots
Michael J. Quinlan, Stephan K. Chalup and Richard H. Middleton
Advances in Neural Information Processing Systems 16, 2003


Modeling User Rating Profiles For Collaborative Filtering
Benjamin M. Marlin
Advances in Neural Information Processing Systems 16, 2003


Parameterized Novelty Detectors for Environmental Sensor Monitoring
Cynthia Archer, Antonio Baptista and Todd K. Leen
Advances in Neural Information Processing Systems 16, 2003


Markov Models for Automated ECG Interval Analysis
Nicholas P. Hughes, Lionel Tarassenko and Stephen J. Roberts
Advances in Neural Information Processing Systems 16, 2003


Statistical Debugging of Sampled Programs
Alice X. Zheng, Michael I. Jordan, Ben Liblit and Alex Aiken
Advances in Neural Information Processing Systems 16, 2003


Semi-supervised Protein Classification Using Cluster Kernels
Jason Weston, Dengyong Zhou, André Elisseeff, William S. Noble and Christina S. Leslie
Advances in Neural Information Processing Systems 16, 2003


An Autonomous Robotic System for Mapping Abandoned Mines
David Ferguson, Aaron Morris, Dirk Hähnel, Christopher Baker, Zachary Omohundro, Carlos Reverte, Scott Thayer, Charles Whittaker, William Whittaker, Wolfram Burgard and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Fast Embedding of Sparse Similarity Graphs
John C. Platt
Advances in Neural Information Processing Systems 16, 2003


Algorithms for Interdependent Security Games
Michael Kearns and Luis E. Ortiz
Advances in Neural Information Processing Systems 16, 2003


A Model for Learning the Semantics of Pictures
Victor Lavrenko, R. Manmatha and Jiwoon Jeon
Advances in Neural Information Processing Systems 16, 2003


Classification with Hybrid Generative/Discriminative Models
Rajat Raina, Yirong Shen, Andrew Mccallum and Andrew Y. Ng
Advances in Neural Information Processing Systems 16, 2003


Necessary Intransitive Likelihood-Ratio Classifiers
Gang Ji and Jeff A. Bilmes
Advances in Neural Information Processing Systems 16, 2003


Probability Estimates for Multi-Class Classification by Pairwise Coupling
Ting-fan Wu, Chih-jen Lin and Ruby C. Weng
Advances in Neural Information Processing Systems 16, 2003


Bias-Corrected Bootstrap and Model Uncertainty
Harald Steck and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
Advances in Neural Information Processing Systems 16, 2003


Minimax Embeddings
Matthew Brand
Advances in Neural Information Processing Systems 16, 2003


Log-Linear Models for Label Ranking
Ofer Dekel, Yoram Singer and Christopher D. Manning
Advances in Neural Information Processing Systems 16, 2003


Identifying Structure across Pre-partitioned Data
Zvika Marx, Ido Dagan and Eli Shamir
Advances in Neural Information Processing Systems 16, 2003


An Iterative Improvement Procedure for Hierarchical Clustering
David Kauchak and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 16, 2003


Feature Selection in Clustering Problems
Volker Roth and Tilman Lange
Advances in Neural Information Processing Systems 16, 2003


Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Noam Shental, Aharon Bar-hillel, Tomer Hertz and Daphna Weinshall
Advances in Neural Information Processing Systems 16, 2003


Semi-Definite Programming by Perceptron Learning
Thore Graepel, Ralf Herbrich, Andriy Kharechko and John S. Shawe-taylor
Advances in Neural Information Processing Systems 16, 2003


Learning to Find Pre-Images
Jason Weston, Bernhard Schölkopf and Gökhan H. Bakir
Advances in Neural Information Processing Systems 16, 2003


Laplace Propagation
Eleazar Eskin, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 16, 2003


Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data
Amos J. Storkey
Advances in Neural Information Processing Systems 16, 2003


Sample Propagation
Mark A. Paskin
Advances in Neural Information Processing Systems 16, 2003


Wormholes Improve Contrastive Divergence
Max Welling, Andriy Mnih and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 16, 2003


Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
Pedro F. Felzenszwalb, Daniel P. Huttenlocher and Jon M. Kleinberg
Advances in Neural Information Processing Systems 16, 2003


Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
Radford M. Neal, Matthew J. Beal and Sam T. Roweis
Advances in Neural Information Processing Systems 16, 2003


On the Concentration of Expectation and Approximate Inference in Layered Networks
Xuanlong Nguyen and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Denoising and Untangling Graphs Using Degree Priors
Quaid D. Morris and Brendan J. Frey
Advances in Neural Information Processing Systems 16, 2003


Approximability of Probability Distributions
Alina Beygelzimer and Irina Rish
Advances in Neural Information Processing Systems 16, 2003


Semidefinite Relaxations for Approximate Inference on Graphs with Cycles
Michael I. Jordan and Martin J. Wainwright
Advances in Neural Information Processing Systems 16, 2003


Linear Response for Approximate Inference
Max Welling and Yee W. Teh
Advances in Neural Information Processing Systems 16, 2003


Approximate Expectation Maximization
Tom Heskes, Onno Zoeter and Wim Wiegerinck
Advances in Neural Information Processing Systems 16, 2003


Can We Learn to Beat the Best Stock
Allan Borodin, Ran El-yaniv and Vincent Gogan
Advances in Neural Information Processing Systems 16, 2003


Warped Gaussian Processes
Edward Snelson, Zoubin Ghahramani and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
Neil D. Lawrence
Advances in Neural Information Processing Systems 16, 2003


Learning with Local and Global Consistency
Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003


AUC Optimization vs. Error Rate Minimization
Corinna Cortes and Mehryar Mohri
Advances in Neural Information Processing Systems 16, 2003


Learning Spectral Clustering
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Non-linear CCA and PCA by Alignment of Local Models
Jakob J. Verbeek, Sam T. Roweis and Nikos A. Vlassis
Advances in Neural Information Processing Systems 16, 2003


Finding the M Most Probable Configurations in Arbitrary Graphical Models
Chen Yanover and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Learning the k in k-means
Greg Hamerly and Charles Elkan
Advances in Neural Information Processing Systems 16, 2003


Nonstationary Covariance Functions for Gaussian Process Regression
Christopher J. Paciorek and Mark J. Schervish
Advances in Neural Information Processing Systems 16, 2003


Efficient Exact k-NN and Nonparametric Classification in High Dimensions
Ting Liu, Andrew W. Moore and Alexander G. Gray
Advances in Neural Information Processing Systems 16, 2003


Semi-Supervised Learning with Trees
Charles Kemp, Thomas L. Griffiths, Sean Stromsten and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 16, 2003


Perspectives on Sparse Bayesian Learning
Jason Palmer, Bhaskar D. Rao and David P. Wipf
Advances in Neural Information Processing Systems 16, 2003


Sparse Representation and Its Applications in Blind Source Separation
Yuanqing Li, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu and Andrzej S. Cichocki
Advances in Neural Information Processing Systems 16, 2003


Online Classification on a Budget
Koby Crammer, Jaz Kandola and Yoram Singer
Advances in Neural Information Processing Systems 16, 2003


Large Scale Online Learning
Léon Bottou and Yann L. Cun
Advances in Neural Information Processing Systems 16, 2003


Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply
Eiji Mizutani and James W. Demmel
Advances in Neural Information Processing Systems 16, 2003


The IM Algorithm: A Variational Approach to Information Maximization
David Barber and Felix V. Agakov
Advances in Neural Information Processing Systems 16, 2003


Tree-structured Approximations by Expectation Propagation
Yuan Qi and Tom Minka
Advances in Neural Information Processing Systems 16, 2003


Pairwise Clustering and Graphical Models
Noam Shental, Assaf Zomet, Tomer Hertz and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
Yoshua Bengio, Jean-françcois Paiement, Pascal Vincent, Olivier Delalleau, Nicolas L. Roux and Marie Ouimet
Advances in Neural Information Processing Systems 16, 2003


Ranking on Data Manifolds
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003


Optimal Manifold Representation of Data: An Information Theoretic Approach
Denis V. Chigirev and William Bialek
Advances in Neural Information Processing Systems 16, 2003


Locality Preserving Projections
Xiaofei He and Partha Niyogi
Advances in Neural Information Processing Systems 16, 2003


Linear Dependent Dimensionality Reduction
Nathan Srebro and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


Extreme Components Analysis
Max Welling, Christopher Williams and Felix V. Agakov
Advances in Neural Information Processing Systems 16, 2003


Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
Liva Ralaivola and Florence D'alché-buc
Advances in Neural Information Processing Systems 16, 2003


Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
Claudio Gentile
Advances in Neural Information Processing Systems 16, 2003


Sequential Bayesian Kernel Regression
Jaco Vermaak, Simon J. Godsill and Arnaud Doucet
Advances in Neural Information Processing Systems 16, 2003


Sparse Greedy Minimax Probability Machine Classification
Thomas Strohmann, Andrei Belitski, Greg Grudic and Dennis Decoste
Advances in Neural Information Processing Systems 16, 2003


Efficient and Robust Feature Extraction by Maximum Margin Criterion
Haifeng Li, Tao Jiang and Keshu Zhang
Advances in Neural Information Processing Systems 16, 2003


Clustering with the Connectivity Kernel
Bernd Fischer, Volker Roth and Joachim M. Buhmann
Advances in Neural Information Processing Systems 16, 2003


Kernel Dimensionality Reduction for Supervised Learning
Kenji Fukumizu, Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Convex Methods for Transduction
Tijl D. Bie and Nello Cristianini
Advances in Neural Information Processing Systems 16, 2003


Multiple-Instance Learning via Disjunctive Programming Boosting
Stuart Andrews and Thomas Hofmann
Advances in Neural Information Processing Systems 16, 2003


Image Reconstruction by Linear Programming
Koji Tsuda and Gunnar Rätsch
Advances in Neural Information Processing Systems 16, 2003


1-norm Support Vector Machines
Ji Zhu, Saharon Rosset, Robert Tibshirani and Trevor J. Hastie
Advances in Neural Information Processing Systems 16, 2003


Learning a Distance Metric from Relative Comparisons
Matthew Schultz and Thorsten Joachims
Advances in Neural Information Processing Systems 16, 2003


Invariant Pattern Recognition by Semi-Definite Programming Machines
Thore Graepel and Ralf Herbrich
Advances in Neural Information Processing Systems 16, 2003


Max-Margin Markov Networks
Ben Taskar, Carlos Guestrin and Daphne Koller
Advances in Neural Information Processing Systems 16, 2003


Hierarchical Topic Models and the Nested Chinese Restaurant Process
Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum and David M. Blei
Advances in Neural Information Processing Systems 16, 2003


Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
Mark Girolami and Ata Kabán
Advances in Neural Information Processing Systems 16, 2003


Efficient Multiscale Sampling from Products of Gaussian Mixtures
Alexander T. Ihler, Erik B. Sudderth, William T. Freeman and Alan S. Willsky
Advances in Neural Information Processing Systems 16, 2003