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Temporal Coding using the Response Properties of Spiking Neurons
Thomas Voegtlin
Advances in Neural Information Processing Systems 19, 2006


Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 19, 2006


Optimal Change-Detection and Spiking Neurons
Angela J. Yu
Advances in Neural Information Processing Systems 19, 2006


Clustering appearance and shape by learning jigsaws
Anitha Kannan, John Winn and Carsten Rother
Advances in Neural Information Processing Systems 19, 2006


Using Combinatorial Optimization within Max-Product Belief Propagation
Daniel Tarlow, Gal Elidan, Daphne Koller and John C. Duchi
Advances in Neural Information Processing Systems 19, 2006


Learning to parse images of articulated bodies
Deva Ramanan
Advances in Neural Information Processing Systems 19, 2006


Graph-Based Visual Saliency
Jonathan Harel, Christof Koch and Pietro Perona
Advances in Neural Information Processing Systems 19, 2006


Training Conditional Random Fields for Maximum Labelwise Accuracy
Samuel S. Gross, Olga Russakovsky, Chuong B. Do and Serafim Batzoglou
Advances in Neural Information Processing Systems 19, 2006


Distributed Inference in Dynamical Systems
Stanislav Funiak, Carlos Guestrin, Rahul Sukthankar and Mark A. Paskin
Advances in Neural Information Processing Systems 19, 2006


Ordinal Regression by Extended Binary Classification
Ling Li and Hsuan-tien Lin
Advances in Neural Information Processing Systems 19, 2006


Efficient sparse coding algorithms
Honglak Lee, Alexis Battle, Rajat Raina and Andrew Y. Ng
Advances in Neural Information Processing Systems 19, 2006


Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian, Benjamin Wellington and I. D. Melamed
Advances in Neural Information Processing Systems 19, 2006


PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain and Nicolas Usunier
Advances in Neural Information Processing Systems 19, 2006


In-Network PCA and Anomaly Detection
Ling Huang, Xuanlong Nguyen, Minos Garofalakis, Michael I. Jordan, Anthony Joseph and Nina Taft
Advances in Neural Information Processing Systems 19, 2006


Bayesian Policy Gradient Algorithms
Mohammad Ghavamzadeh and Yaakov Engel
Advances in Neural Information Processing Systems 19, 2006


Theory and Dynamics of Perceptual Bistability
Paul R. Schrater and Rashmi Sundareswara
Advances in Neural Information Processing Systems 19, 2006


Recursive ICA
Honghao Shan, Lingyun Zhang and Garrison W. Cottrell
Advances in Neural Information Processing Systems 19, 2006


Efficient Structure Learning of Markov Networks using $L_1$-Regularization
Su-in Lee, Varun Ganapathi and Daphne Koller
Advances in Neural Information Processing Systems 19, 2006


Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Ping Li, Kenneth W. Church and Trevor J. Hastie
Advances in Neural Information Processing Systems 19, 2006


An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel, Adam Coates, Morgan Quigley and Andrew Y. Ng
Advances in Neural Information Processing Systems 19, 2006


Natural Actor-Critic for Road Traffic Optimisation
Silvia Richter, Douglas Aberdeen and Jin Yu
Advances in Neural Information Processing Systems 19, 2006


Automated Hierarchy Discovery for Planning in Partially Observable Environments
Laurent Charlin, Pascal Poupart and Romy Shioda
Advances in Neural Information Processing Systems 19, 2006


Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints
Carla P. Gomes, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 19, 2006


High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression
Martin J. Wainwright, John D. Lafferty and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 19, 2006


Analysis of Representations for Domain Adaptation
Shai Ben-david, John Blitzer, Koby Crammer and Fernando Pereira
Advances in Neural Information Processing Systems 19, 2006


Fast Computation of Graph Kernels
Karsten M. Borgwardt, Nicol N. Schraudolph and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 19, 2006


Unsupervised Regression with Applications to Nonlinear System Identification
Ali Rahimi and Ben Recht
Advances in Neural Information Processing Systems 19, 2006


Combining causal and similarity-based reasoning
Charles Kemp, Patrick Shafto, Allison Berke and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 19, 2006


iLSTD: Eligibility Traces and Convergence Analysis
Alborz Geramifard, Michael Bowling, Martin Zinkevich and Richard S. Sutton
Advances in Neural Information Processing Systems 19, 2006


Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis
Amit Gore and Shantanu Chakrabartty
Advances in Neural Information Processing Systems 19, 2006


Bayesian Model Scoring in Markov Random Fields
Sridevi Parise and Max Welling
Advances in Neural Information Processing Systems 19, 2006


Fast Iterative Kernel PCA
Nicol N. Schraudolph, Simon Günter and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 19, 2006


Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing
Yuanhao Chen, Long Zhu and Alan L. Yuille
Advances in Neural Information Processing Systems 19, 2006


Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'aurelio Ranzato, Christopher Poultney, Sumit Chopra and Yann L. Cun
Advances in Neural Information Processing Systems 19, 2006


Nonlinear physically-based models for decoding motor-cortical population activity
Gregory Shakhnarovich, Sung-phil Kim and Michael J. Black
Advances in Neural Information Processing Systems 19, 2006


Multi-dynamic Bayesian Networks
Karim Filali and Jeff A. Bilmes
Advances in Neural Information Processing Systems 19, 2006


Large Margin Component Analysis
Lorenzo Torresani and Kuang-chih Lee
Advances in Neural Information Processing Systems 19, 2006


Single Channel Speech Separation Using Factorial Dynamics
John R. Hershey, Trausti Kristjansson, Steven Rennie and Peder A. Olsen
Advances in Neural Information Processing Systems 19, 2006


On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
Hariharan Narayanan, Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 19, 2006


Prediction on a Graph with a Perceptron
Mark Herbster and Massimiliano Pontil
Advances in Neural Information Processing Systems 19, 2006


Kernels on Structured Objects Through Nested Histograms
Marco Cuturi and Kenji Fukumizu
Advances in Neural Information Processing Systems 19, 2006


A Theory of Retinal Population Coding
Eizaburo Doi and Michael S. Lewicki
Advances in Neural Information Processing Systems 19, 2006


Image Retrieval and Classification Using Local Distance Functions
Andrea Frome, Yoram Singer and Jitendra Malik
Advances in Neural Information Processing Systems 19, 2006


Sparse Representation for Signal Classification
Ke Huang and Selin Aviyente
Advances in Neural Information Processing Systems 19, 2006


Learning to Traverse Image Manifolds
Piotr Dollár, Vincent Rabaud and Serge J. Belongie
Advances in Neural Information Processing Systems 19, 2006


An Information Theoretic Framework for Eukaryotic Gradient Sensing
Joseph M. Kimmel, Richard M. Salter and Peter J. Thomas
Advances in Neural Information Processing Systems 19, 2006


Online Clustering of Moving Hyperplanes
René Vidal
Advances in Neural Information Processing Systems 19, 2006


Fast Discriminative Visual Codebooks using Randomized Clustering Forests
Frank Moosmann, Bill Triggs and Frederic Jurie
Advances in Neural Information Processing Systems 19, 2006


Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio, Pascal Lamblin, Dan Popovici and Hugo Larochelle
Advances in Neural Information Processing Systems 19, 2006


Game Theoretic Algorithms for Protein-DNA binding
Luis Pérez-breva, Luis E. Ortiz, Chen-hsiang Yeang and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 19, 2006


Map-Reduce for Machine Learning on Multicore
Cheng-tao Chu, Sang K. Kim, Yi-an Lin, Yuanyuan Yu, Gary Bradski, Kunle Olukotun and Andrew Y. Ng
Advances in Neural Information Processing Systems 19, 2006


Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space
Kyung-ah Sohn and Eric P. Xing
Advances in Neural Information Processing Systems 19, 2006


Modeling Dyadic Data with Binary Latent Factors
Edward Meeds, Zoubin Ghahramani, Radford M. Neal and Sam T. Roweis
Advances in Neural Information Processing Systems 19, 2006


Gaussian and Wishart Hyperkernels
Risi Kondor and Tony Jebara
Advances in Neural Information Processing Systems 19, 2006


Boosting Structured Prediction for Imitation Learning
J. A. Bagnell, Joel Chestnutt, David M. Bradley and Nathan D. Ratliff
Advances in Neural Information Processing Systems 19, 2006


Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods
Matthias Seeger
Advances in Neural Information Processing Systems 19, 2006


Clustering Under Prior Knowledge with Application to Image Segmentation
Dong S. Cheng, Vittorio Murino and Mário Figueiredo
Advances in Neural Information Processing Systems 19, 2006


Approximate inference using planar graph decomposition
Amir Globerson and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 19, 2006


Detecting Humans via Their Pose
Alessandro Bissacco, Ming-hsuan Yang and Stefano Soatto
Advances in Neural Information Processing Systems 19, 2006


No-regret Algorithms for Online Convex Programs
Geoffrey J. Gordon
Advances in Neural Information Processing Systems 19, 2006


Modeling Human Motion Using Binary Latent Variables
Graham W. Taylor, Geoffrey E. Hinton and Sam T. Roweis
Advances in Neural Information Processing Systems 19, 2006


Part-based Probabilistic Point Matching using Equivalence Constraints
Graham Mcneill and Sethu Vijayakumar
Advances in Neural Information Processing Systems 19, 2006


Linearly-solvable Markov decision problems
Emanuel Todorov
Advances in Neural Information Processing Systems 19, 2006


TrueSkill™: A Bayesian Skill Rating System
Ralf Herbrich, Tom Minka and Thore Graepel
Advances in Neural Information Processing Systems 19, 2006


Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Konrad Rieck, Pavel Laskov and Sören Sonnenburg
Advances in Neural Information Processing Systems 19, 2006


Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization
Rey Ramírez, Jason Palmer, Scott Makeig, Bhaskar D. Rao and David P. Wipf
Advances in Neural Information Processing Systems 19, 2006


Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds
Benjamin I. Rubinstein, Peter L. Bartlett and J. H. Rubinstein
Advances in Neural Information Processing Systems 19, 2006


Recursive Attribute Factoring
Deepak Verma, Karl Pfleger and David Tax
Advances in Neural Information Processing Systems 19, 2006


Sample Complexity of Policy Search with Known Dynamics
Peter L. Bartlett and Ambuj Tewari
Advances in Neural Information Processing Systems 19, 2006


Relational Learning with Gaussian Processes
Wei Chu, Vikas Sindhwani, Zoubin Ghahramani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
Alexander T. Ihler and Padhraic Smyth
Advances in Neural Information Processing Systems 19, 2006


Learning on Graph with Laplacian Regularization
Rie K. Ando and Tong Zhang
Advances in Neural Information Processing Systems 19, 2006


Stability of $K$-Means Clustering
Alexander Rakhlin and Andrea Caponnetto
Advances in Neural Information Processing Systems 19, 2006


Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca, Giacomo Indiveri and Rodney J. Douglas
Advances in Neural Information Processing Systems 19, 2006


MLLE: Modified Locally Linear Embedding Using Multiple Weights
Zhenyue Zhang and Jing Wang
Advances in Neural Information Processing Systems 19, 2006


Hierarchical Dirichlet Processes with Random Effects
Seyoung Kim and Padhraic Smyth
Advances in Neural Information Processing Systems 19, 2006


Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation
Jason M. Samonds, Brian R. Potetz and Tai S. Lee
Advances in Neural Information Processing Systems 19, 2006


Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
Mark Johnson, Thomas L. Griffiths and Sharon Goldwater
Advances in Neural Information Processing Systems 19, 2006


A selective attention multi--chip system with dynamic synapses and spiking neurons
Chiara Bartolozzi and Giacomo Indiveri
Advances in Neural Information Processing Systems 19, 2006


Graph Laplacian Regularization for Large-Scale Semidefinite Programming
Kilian Q. Weinberger, Fei Sha, Qihui Zhu and Lawrence K. Saul
Advances in Neural Information Processing Systems 19, 2006


Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou, Jiayuan Huang and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
Chi-hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans and Russell Greiner
Advances in Neural Information Processing Systems 19, 2006


Online Classification for Complex Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-shwartz and Yoram Singer
Advances in Neural Information Processing Systems 19, 2006


Multiple Instance Learning for Computer Aided Diagnosis
Murat Dundar, Balaji Krishnapuram, R. B. Rao and Glenn M. Fung
Advances in Neural Information Processing Systems 19, 2006


Towards a general independent subspace analysis
Fabian J. Theis
Advances in Neural Information Processing Systems 19, 2006


Learning Nonparametric Models for Probabilistic Imitation
David B. Grimes, Daniel R. Rashid and Rajesh P. Rao
Advances in Neural Information Processing Systems 19, 2006


Non-rigid point set registration: Coherent Point Drift
Andriy Myronenko, Xubo Song and Miguel Á. Carreira-perpiñán
Advances in Neural Information Processing Systems 19, 2006


Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype
Tobias Sing and Niko Beerenwinkel
Advances in Neural Information Processing Systems 19, 2006


Learnability and the doubling dimension
Yi Li and Philip M. Long
Advances in Neural Information Processing Systems 19, 2006


A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 19, 2006


Learning to Rank with Nonsmooth Cost Functions
Christopher J. Burges, Robert Ragno and Quoc V. Le
Advances in Neural Information Processing Systems 19, 2006


Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
Jerónimo Arenas-garcía, Kaare B. Petersen and Lars K. Hansen
Advances in Neural Information Processing Systems 19, 2006


Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
Jennifer Listgarten, Radford M. Neal, Sam T. Roweis, Rachel Puckrin and Sean Cutler
Advances in Neural Information Processing Systems 19, 2006


The Robustness-Performance Tradeoff in Markov Decision Processes
Huan Xu and Shie Mannor
Advances in Neural Information Processing Systems 19, 2006


Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach
Matthias Krauledat, Michael Schröder, Benjamin Blankertz and Klaus-robert Müller
Advances in Neural Information Processing Systems 19, 2006


Learning annotated hierarchies from relational data
Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 19, 2006


An Approach to Bounded Rationality
Eli Ben-sasson, Ehud Kalai and Adam Kalai
Advances in Neural Information Processing Systems 19, 2006


Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
Gediminas Lukšys, Jérémie Knüsel, Denis Sheynikhovich, Carmen Sandi and Wulfram Gerstner
Advances in Neural Information Processing Systems 19, 2006


Manifold Denoising
Matthias Hein and Markus Maier
Advances in Neural Information Processing Systems 19, 2006


Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K. Warmuth and Dima Kuzmin
Advances in Neural Information Processing Systems 19, 2006


Information Bottleneck for Non Co-Occurrence Data
Yevgeny Seldin, Noam Slonim and Naftali Tishby
Advances in Neural Information Processing Systems 19, 2006


Speakers optimize information density through syntactic reduction
T. F. Jaeger and Roger P. Levy
Advances in Neural Information Processing Systems 19, 2006


Temporal dynamics of information content carried by neurons in the primary visual cortex
Danko Nikolić, Stefan Haeusler, Wolf Singer and Wolfgang Maass
Advances in Neural Information Processing Systems 19, 2006


A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Yee W. Teh, David Newman and Max Welling
Advances in Neural Information Processing Systems 19, 2006


Aggregating Classification Accuracy across Time: Application to Single Trial EEG
Steven Lemm, Christin Schäfer and Gabriel Curio
Advances in Neural Information Processing Systems 19, 2006


PG-means: learning the number of clusters in data
Yu Feng and Greg Hamerly
Advances in Neural Information Processing Systems 19, 2006


Bayesian Ensemble Learning
Hugh A. Chipman, Edward I. George and Robert E. Mcculloch
Advances in Neural Information Processing Systems 19, 2006


Bayesian Image Super-resolution, Continued
Lyndsey C. Pickup, David P. Capel, Stephen J. Roberts and Andrew Zisserman
Advances in Neural Information Processing Systems 19, 2006


Particle Filtering for Nonparametric Bayesian Matrix Factorization
Frank Wood and Thomas L. Griffiths
Advances in Neural Information Processing Systems 19, 2006


Similarity by Composition
Oren Boiman and Michal Irani
Advances in Neural Information Processing Systems 19, 2006


Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
David Barber and Silvia Chiappa
Advances in Neural Information Processing Systems 19, 2006


A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain, Alexandre Lacasse, François Laviolette and Mario Marchand
Advances in Neural Information Processing Systems 19, 2006


Approximate Correspondences in High Dimensions
Kristen Grauman and Trevor Darrell
Advances in Neural Information Processing Systems 19, 2006


Parameter Expanded Variational Bayesian Methods
Tommi S. Jaakkola and Yuan Qi
Advances in Neural Information Processing Systems 19, 2006


A Nonparametric Approach to Bottom-Up Visual Saliency
Wolf Kienzle, Felix A. Wichmann, Matthias O. Franz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel and Tobias Scheffer
Advances in Neural Information Processing Systems 19, 2006


Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning
Peter Auer and Ronald Ortner
Advances in Neural Information Processing Systems 19, 2006


Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
Wenye Li, Kin-hong Lee and Kwong-sak Leung
Advances in Neural Information Processing Systems 19, 2006


A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular Stereo
Oliver Williams
Advances in Neural Information Processing Systems 19, 2006


Learning to be Bayesian without Supervision
Martin Raphan and Eero P. Simoncelli
Advances in Neural Information Processing Systems 19, 2006


The Neurodynamics of Belief Propagation on Binary Markov Random Fields
Thomas Ott and Ruedi Stoop
Advances in Neural Information Processing Systems 19, 2006


Learning from Multiple Sources
Koby Crammer, Michael Kearns and Jennifer Wortman
Advances in Neural Information Processing Systems 19, 2006


Learning Motion Style Synthesis from Perceptual Observations
Lorenzo Torresani, Peggy Hackney and Christoph Bregler
Advances in Neural Information Processing Systems 19, 2006


Handling Advertisements of Unknown Quality in Search Advertising
Sandeep Pandey and Christopher Olston
Advances in Neural Information Processing Systems 19, 2006


Simplifying Mixture Models through Function Approximation
Kai Zhang and James T. Kwok
Advances in Neural Information Processing Systems 19, 2006


Stochastic Relational Models for Discriminative Link Prediction
Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp and Zhao Xu
Advances in Neural Information Processing Systems 19, 2006


Large-Scale Sparsified Manifold Regularization
Ivor W. Tsang and James T. Kwok
Advances in Neural Information Processing Systems 19, 2006


Attentional Processing on a Spike-Based VLSI Neural Network
Yingxue Wang, Rodney J. Douglas and Shih-chii Liu
Advances in Neural Information Processing Systems 19, 2006


A Local Learning Approach for Clustering
Mingrui Wu and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Efficient Methods for Privacy Preserving Face Detection
Shai Avidan and Moshe Butman
Advances in Neural Information Processing Systems 19, 2006


Nonnegative Sparse PCA
Ron Zass and Amnon Shashua
Advances in Neural Information Processing Systems 19, 2006


Blind source separation for over-determined delayed mixtures
Lars Omlor and Martin Giese
Advances in Neural Information Processing Systems 19, 2006


Denoising and Dimension Reduction in Feature Space
Mikio L. Braun, Klaus-robert Müller and Joachim M. Buhmann
Advances in Neural Information Processing Systems 19, 2006


Context Effects in Category Learning: An Investigation of Four Probabilistic Models
Michael C. Mozer, Michael Shettel and Michael P. Holmes
Advances in Neural Information Processing Systems 19, 2006


Subordinate class recognition using relational object models
Aharon B. Hillel and Daphna Weinshall
Advances in Neural Information Processing Systems 19, 2006


Isotonic Conditional Random Fields and Local Sentiment Flow
Yi Mao and Guy Lebanon
Advances in Neural Information Processing Systems 19, 2006


Optimal Single-Class Classification Strategies
Ran El-yaniv and Mordechai Nisenson
Advances in Neural Information Processing Systems 19, 2006


An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
S. S. Keerthi, Vikas Sindhwani and Olivier Chapelle
Advances in Neural Information Processing Systems 19, 2006


Learning Structural Equation Models for fMRI
Enrico Simonotto, Heather Whalley, Stephen Lawrie, Lawrence Murray, David Mcgonigle and Amos J. Storkey
Advances in Neural Information Processing Systems 19, 2006


Tighter PAC-Bayes Bounds
Amiran Ambroladze, Emilio Parrado-hernández and John S. Shawe-taylor
Advances in Neural Information Processing Systems 19, 2006


A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
Yoshinobu Kawahara, Takehisa Yairi and Kazuo Machida
Advances in Neural Information Processing Systems 19, 2006


Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani and S. S. Keerthi
Advances in Neural Information Processing Systems 19, 2006


Multi-Instance Multi-Label Learning with Application to Scene Classification
Zhi-hua Zhou and Min-ling Zhang
Advances in Neural Information Processing Systems 19, 2006


Emergence of conjunctive visual features by quadratic independent component analysis
J.t. Lindgren and Aapo Hyvärinen
Advances in Neural Information Processing Systems 19, 2006


Mixture Regression for Covariate Shift
Masashi Sugiyama and Amos J. Storkey
Advances in Neural Information Processing Systems 19, 2006


Logistic Regression for Single Trial EEG Classification
Ryota Tomioka, Kazuyuki Aihara and Klaus-robert Müller
Advances in Neural Information Processing Systems 19, 2006


Inducing Metric Violations in Human Similarity Judgements
Julian Laub, Klaus-robert Müller, Felix A. Wichmann and Jakob H. Macke
Advances in Neural Information Processing Systems 19, 2006


A Small World Threshold for Economic Network Formation
Eyal Even-dar and Michael Kearns
Advances in Neural Information Processing Systems 19, 2006


Active learning for misspecified generalized linear models
Francis R. Bach
Advances in Neural Information Processing Systems 19, 2006


A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
Daniel J. Navarro and Thomas L. Griffiths
Advances in Neural Information Processing Systems 19, 2006


Blind Motion Deblurring Using Image Statistics
Anat Levin
Advances in Neural Information Processing Systems 19, 2006


Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
Chaitanya Chemudugunta, Padhraic Smyth and Mark Steyvers
Advances in Neural Information Processing Systems 19, 2006


Support Vector Machines on a Budget
Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 19, 2006


Convex Repeated Games and Fenchel Duality
Shai Shalev-shwartz and Yoram Singer
Advances in Neural Information Processing Systems 19, 2006


Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
Robert Jenssen, Torbjørn Eltoft, Mark Girolami and Deniz Erdogmus
Advances in Neural Information Processing Systems 19, 2006


Learning Dense 3D Correspondence
Florian Steinke, Volker Blanz and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D. Lee, Ian G. Fuss and Daniel J. Navarro
Advances in Neural Information Processing Systems 19, 2006


Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks
Alexis Battle, Gal Chechik and Daphne Koller
Advances in Neural Information Processing Systems 19, 2006


Generalized Maximum Margin Clustering and Unsupervised Kernel Learning
Hamed Valizadegan and Rong Jin
Advances in Neural Information Processing Systems 19, 2006


implicit Online Learning with Kernels
Li Cheng, Dale Schuurmans, Shaojun Wang, Terry Caelli and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 19, 2006


Analysis of Contour Motions
Ce Liu, William T. Freeman and Edward H. Adelson
Advances in Neural Information Processing Systems 19, 2006


Real-time adaptive information-theoretic optimization of neurophysiology experiments
Jeremy Lewi, Robert Butera and Liam Paninski
Advances in Neural Information Processing Systems 19, 2006


On Transductive Regression
Corinna Cortes and Mehryar Mohri
Advances in Neural Information Processing Systems 19, 2006


Doubly Stochastic Normalization for Spectral Clustering
Ron Zass and Amnon Shashua
Advances in Neural Information Processing Systems 19, 2006


Multi-Task Feature Learning
Andreas Argyriou, Theodoros Evgeniou and Massimiliano Pontil
Advances in Neural Information Processing Systems 19, 2006


Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara, Max Welling and Nikos A. Vlassis
Advances in Neural Information Processing Systems 19, 2006


Inferring Network Structure from Co-Occurrences
Michael G. Rabbat, Mário Figueiredo and Robert Nowak
Advances in Neural Information Processing Systems 19, 2006


A Humanlike Predictor of Facial Attractiveness
Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-or and Eytan Ruppin
Advances in Neural Information Processing Systems 19, 2006


A Scalable Machine Learning Approach to Go
Lin Wu and Pierre F. Baldi
Advances in Neural Information Processing Systems 19, 2006


Geometric entropy minimization (GEM) for anomaly detection and localization
Alfred O. Hero
Advances in Neural Information Processing Systems 19, 2006


Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
Gavin C. Cawley, Nicola L. Talbot and Mark Girolami
Advances in Neural Information Processing Systems 19, 2006


Data Integration for Classification Problems Employing Gaussian Process Priors
Mark Girolami and Mingjun Zhong
Advances in Neural Information Processing Systems 19, 2006


Uncertainty, phase and oscillatory hippocampal recall
Máté Lengyel and Peter Dayan
Advances in Neural Information Processing Systems 19, 2006


An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments
Michael I. Mandel, Daniel P. Ellis and Tony Jebara
Advances in Neural Information Processing Systems 19, 2006


Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces
Moritz Grosse-wentrup, Klaus Gramann and Martin Buss
Advances in Neural Information Processing Systems 19, 2006


AdaBoost is Consistent
Peter L. Bartlett and Mikhail Traskin
Advances in Neural Information Processing Systems 19, 2006


A Complexity-Distortion Approach to Joint Pattern Alignment
Andrea Vedaldi and Stefano Soatto
Advances in Neural Information Processing Systems 19, 2006


Robotic Grasping of Novel Objects
Ashutosh Saxena, Justin Driemeyer, Justin Kearns and Andrew Y. Ng
Advances in Neural Information Processing Systems 19, 2006


Predicting spike times from subthreshold dynamics of a neuron
Ryota Kobayashi and Shigeru Shinomoto
Advances in Neural Information Processing Systems 19, 2006


Convergence of Laplacian Eigenmaps
Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 19, 2006


Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds
Gloria Haro, Gregory Randall and Guillermo Sapiro
Advances in Neural Information Processing Systems 19, 2006


Balanced Graph Matching
Timothee Cour, Praveen Srinivasan and Jianbo Shi
Advances in Neural Information Processing Systems 19, 2006


An Oracle Inequality for Clipped Regularized Risk Minimizers
Ingo Steinwart, Don Hush and Clint Scovel
Advances in Neural Information Processing Systems 19, 2006


A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data
Johanna M. Zumer, Hagai T. Attias, Kensuke Sekihara and Srikantan S. Nagarajan
Advances in Neural Information Processing Systems 19, 2006


Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games
Chris Murray and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 19, 2006


Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder, Olivier Chapelle and Bernhard Schölkopf
Advances in Neural Information Processing Systems 19, 2006


Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions
Philip M. Long and Rocco Servedio
Advances in Neural Information Processing Systems 19, 2006


A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems
David Barber and Bertrand Mesot
Advances in Neural Information Processing Systems 19, 2006


Large Scale Hidden Semi-Markov SVMs
Gunnar Rätsch and Sören Sonnenburg
Advances in Neural Information Processing Systems 19, 2006


Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
Xinhua Zhang and Wee S. Lee
Advances in Neural Information Processing Systems 19, 2006


Differential Entropic Clustering of Multivariate Gaussians
Jason V. Davis and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 19, 2006


Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
Siwei Lyu and Eero P. Simoncelli
Advances in Neural Information Processing Systems 19, 2006


Large Margin Hidden Markov Models for Automatic Speech Recognition
Fei Sha and Lawrence K. Saul
Advances in Neural Information Processing Systems 19, 2006


A recipe for optimizing a time-histogram
Hideaki Shimazaki and Shigeru Shinomoto
Advances in Neural Information Processing Systems 19, 2006


Fundamental Limitations of Spectral Clustering
Boaz Nadler and Meirav Galun
Advances in Neural Information Processing Systems 19, 2006


Comparative Gene Prediction using Conditional Random Fields
Jade P. Vinson, David Decaprio, Matthew D. Pearson, Stacey Luoma and James E. Galagan
Advances in Neural Information Processing Systems 19, 2006


Modelling transcriptional regulation using Gaussian Processes
Neil D. Lawrence, Guido Sanguinetti and Magnus Rattray
Advances in Neural Information Processing Systems 19, 2006


Max-margin classification of incomplete data
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel and Daphne Koller
Advances in Neural Information Processing Systems 19, 2006


Chained Boosting
Christian R. Shelton, Wesley Huie and Kin F. Kan
Advances in Neural Information Processing Systems 19, 2006


Multiple timescales and uncertainty in motor adaptation
Konrad P. Körding, Joshua B. Tenenbaum and Reza Shadmehr
Advances in Neural Information Processing Systems 19, 2006


Causal inference in sensorimotor integration
Konrad P. Körding and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 19, 2006


Conditional mean field
Peter Carbonetto and Nando D. Freitas
Advances in Neural Information Processing Systems 19, 2006


Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Stefan Klampfl, Wolfgang Maass and Robert A. Legenstein
Advances in Neural Information Processing Systems 19, 2006


Dynamic Foreground/Background Extraction from Images and Videos using Random Patches
Le Lu and Gregory D. Hager
Advances in Neural Information Processing Systems 19, 2006