Advances in Neural Information Processing Systems 18

by Weiss, Yair; Scholkopf, Bernhard; Platt, John C.

• ISBN13: 9780262232531
• ISBN10: 0262232537
• Format: Hardcover
• Copyright: 2006-05-12
• Publisher: Bradford Books

Summary

The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December 2005 meeting, held in Vancouver.

Table of Contents

Contents	v
Preface	xvi
Donors	xvii
NIPS Foundation	xvii
Committees	xviii
Reviewers	xix
Learning vehicular dynamics, with application to modeling helicopters	1	(8)
Pieter Abbeel
Varun Ganapathi
Andrew Ng
Policy-Gradient Methods for Planning	9	(8)
Douglas Aberdeen
Kernelized Infomax Clustering	17	(8)
Felix Agakov
David Barber
Large-scale biophysical parameter estimation in single neurons via constrained linear regression	25	(8)
Misha Ahrens
Quentin Huys
Liam Paninski
Maximum Margin Semi-Supervised Learning for Structured Variables	33	(8)
Yasemin Altun
David McAllester
Mikhail Belkin
Large scale networks fingerprinting and visualization using the k-core decomposition	41	(10)
J. Ignacio Alvarez-Hamelin
Luca Dall'Asta
Alain Barrat
Alessandro Vespignani
Fast Information Value for Graphical Models	51	(8)
Brigham Anderson
Andrew Moore
A Cortically-Plausible Inverse Problem Solving Method Applied to Recognizing Static and Kinematic 3D Objects	59	(8)
David Arathorn
Combining Graph Laplacians for Semi--Supervised Learning	67	(8)
Andreas Argyriou
Mark Herbster
Massimilano Pontil
Learning in Silicon: Timing is Everything	75	(8)
John Arthur
Kwabena Boahen
Learning Topology with the Generative Gaussian Graph and the EM Algorithm	83	(8)
Michael Aupetit
On Local Rewards and Scaling Distributed Reinforcement Learning	91	(8)
Drew Bagnell
Andrew Ng
Bayesian models of human action understanding	99	(8)
Chris Baker
Josh Tenenbaum
Rebecca Saxe
The Curse of Highly Variable Functions for Local Kernel Machines	107	(8)
Yoshua Bengio
Olivier Delalleau
Nicolas Le Roux
Non-Local Manifold Parzen Windows	115	(8)
Yoshua Bengio
Hugo Larochelle
Pascal Vincent
Convex Neural Networks	123	(8)
Yoshua Bengio
Nicolas Le Roux
Pascal Vincent
Olivier Delalleau
Patrice Marcotte
Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction	131	(8)
Gilles Blanchard
Masashi Sugiyama
Motoaki Kawanabe
Vladimir Spokoiny
Klaus-Robert Muller
From Weighted Classification to Policy Search	139	(8)
Doron Blatt
Alfred Hero
Correlated Topic Models	147	(8)
David Blei
John Lafferty
Saliency Based on Information Maximization	155	(8)
Neil Bruce
John Tsotsos
Active Learning For Identifying Function Threshold Boundaries	163	(8)
Brent Bryan
Jeff Schneider
Robert Nichol
Christopher Miller
Christopher Genovese
Larry Wasserman
Subsequence Kernels for Relation Extraction	171	(8)
Razvan Bunescu
Raymond Mooney
Faster Rates in Regression via Active Learning	179	(8)
Rui Castro
Rebecca Willett
Robert Nowak
Gradient Flow Independent Component Analysis in Micropower VLSI	187	(8)
Abdullah Celik
Milutin Stanacevic
Gert Cauwenbergiis
Improved risk tail bounds for on-line algorithms	195	(8)
Nicolo Cesa-Bianchi
Claudio Gentile
Layered Dynamic Textures	203	(8)
Antoni Chan
Nuno Vasconcelos
Size Regularized Cut for Data Clustering	211	(8)
Yixin Chen
Ya Zhang
Xiang Ji
Learning from Data of Variable Quality	219	(8)
Koby Crammer
Michael Kearns
Jennifer Wortman
Efficient estimation of hidden state dynamics from spike trains	227	(8)
Marton Danoczy
Richard Hahnloser
Coarse sample complexity bounds for active learning	235	(8)
Sanjoy Dasgupta
Norepinephrine and Neural Interrupts	243	(8)
Peter Dayan
Angela Yu
Fast Krylov Methods for N-Body Learning	251	(8)
Nando de Freitas
Yang Wang
Maryam Mahdaviani
Dustin Lang
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget	259	(8)
Ofer Dekel
Shai Shalev-Shwartz
Yoram Singer
Data-Driven Online to Batch Conversions	267	(8)
Ofer Dekel
Yoram Singer
Beyond Gaussian Processes: On the Distributions of Infinite Networks	275	(8)
Ricky Der
Daniel Lee
Generalized Nonnegative Matrix Approximations with Bregman Divergences	283	(8)
Inderjit Dhillon
Suvrit Sra
An Application of Markov Random Fields to Range Sensing	291	(8)
James Diebel
Sebastian Thrun
Transfer learning for text classification	299	(8)
Chuong Do
Andrew Ng
A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels	307	(8)
Eizaburo Doi
Doru C. Balcan
Michael S. Lewicki
Optimizing spatio-temporal filters for improving Brain-Computer Interfacing	315	(8)
Guido Dornhege
Benjamin Blankertz
Matthias Krauledat
Florian Losch
Gabriel Curio
Klaus-Robert Muller
Correcting sample selection bias in maximum entropy density estimation	323	(8)
Miroslav Dudik
Robert Schapire
Steven Phillips
Searching for Character Models	331	(8)
Jaety Edwards
David Forsyth
Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps	339	(8)
Austin Eliazar
Parr Ronald
Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Methods	347	(8)
Yaakov Engel
Peter Szabo
Dmitry Volkinshtein
Two view learning: SVM-2K, Theory and Practice	355	(8)
Jason D. R. Farquhar
David Hardoon
Hongying Meng
John Shawe-Taylor
Sandor Szedmak
Robust design of biological experiments	363	(8)
Patrick Flaherty
Michael Jordan
Adam Arkin
Pattern Recognition from One Example by Chopping	371	(8)
Francois Fleuret
Gilles Blanchard
Mixture Modeling by Affinity Propagation	379	(8)
Brendan Frey
Delbert Dueck
Statistical Convergence of Kernel CCA	387	(8)
Kenji Fukumizu
Francis Bach
Arthur Gretton
Learning Rankings via Convex Hull Separation	395	(8)
Glenn Fung
Romer Rosales
Balaji Krishnapuram
A Connectionist Model for Constructive Modal Reasoning	403	(8)
Artur Garcez
Luis Lamb
Dov Gabbay
Large-Scale Multiclass Transduction	411	(8)
Thomas Gartner
Quoc V. Le
Simon Burton
Alex Smola
S V N Vishwanathan
Products of ``Edge-perts''	419	(8)
Peter Gehler
Max Welling
Fast biped walking with a reflexive controller and real-time policy searching	427	(8)
Tao Geng
Bernd Porr
Florentin Worgotter
Bayesian Sets	435	(8)
Zoubin Ghahramani
Katherine Heller
Query by Committee Made Real	443	(8)
Ran Gilad-Bachrach
Amir Navot
Naftali Tishby
Metric Learning by Collapsing Classes	451	(8)
Amir Globerson
Sam Roweis
Interpolating between types and tokens by estimating power-law generators	459	(8)
Sharon Goldwater
Tom Griffiths
Mark Johnson
A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification	467	(8)
Yves Grandvalet
Johnny Mariethoz
Samy Bengio
Infinite latent feature models and the Indian buffet process	475	(8)
Tom Griffiths
Zoubin Ghahramani
Computing the Solution Path for the Regularized Support Vector Regression	483	(8)
Lacey Gunter
Ji Zhu
Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs	491	(8)
Firas Hamze
Nando de Freitas
Tensor Subspace Analysis	499	(8)
Xiaofei He
Deng Cai
Partha Niyogi
Laplacian Score for Feature Selection	507	(8)
Xiaofei He
Deng Cai
Partha Niyogi
Inferring Motor Programs from Images of Handwritten Digits	515	(8)
Geoff Hinton
Vinod Nair
Response Analysis of Neuronal Population with Synaptic Depression	523	(8)
Wentao Huang
Licheng Jiao
Shan Tan
Maoguo Gong
Non-iterative Estimation with Perturbed Gaussian Markov Processes	531	(8)
Yunsong Huang
B. Keith Jenkins
Learning Cue-Invariant Visual Responses	539	(8)
Jarmo Hurri
Bayesian Surprise Attracts Human Attention	547	(8)
Laurent Itti
Pierre Baldi
Efficient Estimation of OOMs	555	(8)
Herbert Jaeger
Mingjie Zhao
Andreas Kolling
Representing Part-Whole Relationships in Recurrent Neural Networks	563	(8)
Viren Jain
Valentin Zhigulin
H. Sebastian Seung
A Probabilistic Approach for Optimizing Spectral Clustering	571	(8)
Rong Jin
Chris Ding
Feng Kang
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation	579	(8)
Jason Johnson
Dmitry Malioutov
Alan Willsky
Using ``epitomes'' to model genetic diversity: Rational design of HIV vaccine cocktails	587	(8)
Nebojsa Jojic
Vladimir Jojic
Brendan Frey
Christopher Meek
David Heckerman
Integrate-and-Fire models with adaptation are good enough	595	(8)
Renaud Jolivet
Alexander Rauch
Hans-Rudolf Luscher
Wulfram Gerstner
Generalization Error Bounds for Aggregation by Mirror Descent with Averaging	603	(8)
Anatoli Juditsky
Alexander Nazin
Alexandre Tsybakov
Nicolas Vayatis
From Batch to Transductive Online Learning	611	(8)
Sham Kakade
Adam Kalai
Worst-Case Bounds for Gaussian Process Models	619	(8)
Sham Kakade
Matthias Seeger
Dean Foster
Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification	627	(8)
Ashish Kapoor
Yuan (Alan) Qi
Hyungil Ahn
Rosalind Picard
Is Early Vision Optimized for Extracting Higher-order Dependencies?	635	(8)
Yan Karklin
Michael S. Lewicki
A matching pursuit approach to sparse Gaussian process regression	643	(8)
Sathiya Keerthi
Wei Chu
Benchmarking Non-Parametric Statistical Tests	651	(8)
Mikaela Keller
Samy Bengio
Siew Yeung Wong
Robust Fisher Discriminant Analysis	659	(8)
Seung-Jean Kim
Alessandro Magnani
Stephen Boyd
Measuring Shared Information and Coordinated Activity in Neuronal Networks	667	(8)
Kristina Klinkner
Cosma Shalizi
Marcelo Camperi
Inference with Minimal Communication: a Decision-Theoretic Variational Approach	675	(8)
O. Patrick Kreidl
Alan Willsky
Generalization in Clustering with Unobserved Features	683	(8)
Eyal Krupka
Naftali Tishby
Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery	691	(8)
Jeremy Kubica
Joseph Masiero
Andrew Moore
Robert Jedicke
Andrew Connolly
Assessing Approximations for Gaussian Process Classification	699	(8)
Malte Kuss
Carl Edward Rasmussen
Rodeo: Sparse Nonparametric Regression in High Dimensions	707	(8)
John Lafferty
Larry Wasserman
Fixing two weaknesses of the Spectral Method	715	(8)
Kevin Lang
Fusion of Similarity Data in Clustering	723	(8)
Tilman Lange
Joachim Buhmann
A PAC-Bayes approach to the Set Covering Machine	731	(8)
Francois Laviolette
Mario Marchand
Mohak Shah
Off-Road Obstacle Avoidance through End-to-End Learning	739	(8)
Yann LeCun
Urs Muller
Jan Ben
Eric Cosatto
Beat Flepp
Dual-Tree Fast Gauss Transforms	747	(8)
Dongryeol Lee
Alexander Gray
Andrew Moore
CMOL CrossNets: Possible Neuromorphic Nanoelectronic Circuits	755	(8)
Jung Hoon Lee
Xiaolong Ma
Konstantin Likharev
A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity	763	(8)
Robert Legenstein
Wolfgang Maass
Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches	771	(8)
Anna Levina
Michael Herrmann
From Lasso regression to Feature vector machine	779	(8)
Fan Li
Yiming Yang
Eric Xing
Location-based activity recognition	787	(8)
Lin Liao
Dieter Fox
Henry Kautz
Radial Basis Function Network for Multi-task Learning	795	(8)
Xuejun Liao
Lawrence Carin
Asymptotics of Gaussian Regularized Least Squares	803	(8)
Ross Lippert
Ryan Rifkin
Efficient Unsupervised Learning for Localization and Detection in Object Categories	811	(8)
Nicolas Loeff
Himanshu Arora
Alexander Sorokin
David Forsyth
Convergence and Consistency of Regularized Boosting Algorithms with Stationary β-Mixing Observations	819	(8)
Aurelie Lozano
Sanjeev Kulkarni
Robert Schapire
Ideal Observers for Detecting Motion: Correspondence Noise	827	(8)
Hongjing Lu
Alan Yuille
Principles of real-time computing with feedback applied to cortical microcircuit models	835	(8)
Wolfgang Maass
Prashant Joshi
Eduardo D. Sontag
Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions	843	(8)
Sridhar Mahadevan
Mauro Maggioni
Noise and the two-thirds power Law	851	(8)
Uri Maoz
Elon Portugaly
Tamar Flash
Yair Weiss
Modeling Memory Transfer and Saving in Cerebellar Motor Learning	859	(8)
Naoki Masuda
Shun-ichi Amari
An exploration-exploitation model based on norepinepherine and dopamine activity	867	(8)
Samuel McClure
Mark Gilzenrat
Jonathan Cohen
Online Discovery and Learning of Predictive State Representations	875	(8)
Peter McCracken
Michael Bowling
An Alternative Infinite Mixture Of Gaussian Process Experts	883	(8)
Edward Meeds
Simon Osindero
Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments	891	(8)
Keiji Miura
Masato Okada
Shunichi Amari
Consensus Propagation	899	(8)
Ciamac Moallemi
Benjamin Van Roy
Context as Filtering	907	(8)
Daichi Mochihashi
Yuji Matsumoto
Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms	915	(8)
Baback Moghaddam
Yair Weiss
Shai Avidan
Top-Down Control of Visual Attention: A Rational Account	923	(8)
Michael Mozer
Michael Shettel
Shaun Vecera
Rate Distortion Codes in Sensor Networks	931	(8)
Tatsuto Murayama
Peter Davis
Gaussian Processes for Multiuser Detection in CDMA receivers	939	(8)
Juan Jose Murillo-Fuentes
Sebastian Caro
Fernando Perez-Cruz
Nested sampling for Potts models	947	(8)
Iain Murray
David MacKay
Zoubin Ghahramani
John Skilling
Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators	955	(8)
Boaz Nadler
Stephane Lafon
Ronald Coifman
Ioannis Kevrekidis
Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity	963	(8)
Srikantan Nagarajan
Hagai Attias
Kenneth Hild
Kensuke Sekihara
An Analog Visual Pre-Processing Processor Employing Cyclic Line Access in Only-Nearest-Neighbor-Interconnects Architecture	971	(8)
Yusuke Nakashita
Yoshio Mita
Tadashi Shibata
Q-Clustering	979	(8)
Mukund Narasimhan
Nebojsa Jojic
Jeff Bilmes
Optimal cue selection strategy	987	(8)
Vidhya Navalpakkam
Laurent Itti
Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity	995	(8)
Amir Navot
Lavi Shpigelman
Naftali Tishby
Eilon Vaadia
A Bayesian Spatial Scan Statistic	1003	(8)
Daniel Neill
Andrew Moore
Gregory Cooper
Divergences, surrogate loss functions and experimental design	1011	(8)
XuanLong Nguyen
Martin Wainwright
Michael Jordan
How fast to work: Response vigor, motivation and tonic dopamine	1019	(8)
Yael Niv
Nathaniel Daw
Peter Dayan
Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction	1027	(8)
Guido Nolte
Andreas Ziehe
Frank Meinecke
Klaus-Robert Muller
An Approximate Inference Approach for the PCA Reconstruction Error	1035	(8)
Manfred Opper
Bayesian model learning in human visual perception	1043	(8)
Gergo Orban
Jozsef Fiser
Richard Aslin
Mate Lengyel
Spiking Inputs to a Winner-take-all Network	1051	(8)
Matthias Oster
Shih-Chii Liu
Variational EM Algorithms for Non-Gaussian Latent Variable Models	1059	(8)
Jason Palmer
David Wipf
Kenneth Kreutz-Delgado
Bhaskar Rao
Nonparametric inference of prior probabilities from Bayes-optimal behavior	1067	(8)
Liam Paninski
Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI	1075	(6)
Ofer Pasternak
Nir Sochen
Nathan Intrator
Yaniv Assaf
Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects	1081	(8)
Jean-Pascal Pfister
Wulfram Gerstner
Scaling Laws in Natural Scenes and the Inference of 3D Shape	1089	(8)
Brian Potetz
Tai-Sing Lee
Off-policy Learning with Options and Recognizers	1097	(8)
Doina Precup
Richard Sutton
Cosmin Paduraru
Anna Koop
Satinder Singh
Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization	1105	(8)
Maxim Raginsky
Svetlana Lazebnik
Preconditioner Approximations for Probabilistic Graphical Models	1113	(8)
Pradeep Ravikumar
John Lafferty
Cue Integration for Figure/Ground Labeling	1121	(8)
Xiaofeng Ren
Charless Fowlkes
Jitendra Malik
Generalization to Unseen Cases	1129	(8)
Teemu Roos
Peter Grunwald
Petri Myllymaki
Henry Tirri
Visual Encoding with Jittering Eyes	1137	(8)
Michele Rucci
Dynamic Social Network Analysis using Latent Space Models	1145	(8)
Purnamrita Sarkar
Andrew Moore
Logic and MRF Circuitry for Labeling Occluding and Thinline Visual Contours	1153	(8)
Eric Saund
Learning Depth from Single Monocular Images	1161	(8)
Ashutosh Saxena
Sung H. Chung
Andrew Ng
Identifying Distributed Object Representations in Human Extrastriate Visual Cortex	1169	(8)
Rory Sayres
David Ress
Kalanit Grill-Spector
On the Accuracy of Bounded Rationality: How Far from Optimal Is Fast and Frugal?	1177	(8)
Michael Schmitt
Laura Martignon
Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation	1185	(8)
Nicol Schraudolph
Jin Yu
Douglas Aberdeen
The Information-Form Data Association Filter	1193	(8)
Brad Schumitsch
Sebastian Thrun
Gary Bradski
Kunle Olukotun
A Bayesian Framework for Tilt Perception and Confidence	1201	(8)
Odelia Schwartz
Terrence Sejnowski
Peter Dayan
Learning Minimum Volume Sets	1209	(8)
Clayton Scott
Robert Nowak
AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems	1217	(8)
Rafael Serrano-Gotarredona
Matthias Oster
Patrick Lichtsteiner
Alejandro Linares-Barranco
Rafael Paz-Vicente
Francisco Gomez-Rodriguez
Havard Kolle Rus
Tobi Delbruck
Shih-Chii Liu
Sam Zahnd
Adrian Whatley
Rodney Douglas
Philipp Hafliger
Gabriel Jimenez-Moreno
Anton Civit
Teresa Serrano-Gotarredona
Antonio Acosta-Jimenez
Bernabe Linares-Barranco
Fast Gaussian Process Regression using KD-Trees	1225	(8)
Yirong Shen
Andrew Ng
Matthias Seeger
Learning Shared Latent Structure for Image Synthesis and Robotic Imitation	1233	(8)
Aaron Shon
Keith Grochow
Aaron Hertzmann
Rajesh Rao
Selecting Landmark Points for Sparse Manifold Learning	1241	(8)
Jorge Silva
Jorge Marques
Joao Lemos
Conditional Visual Tracking in Kernel Space	1249	(8)
Cristian Sminchisescu
Atul Kanaujia
Zhiguo Li
Dimitris Metaxas
Sparse Gaussian Processes using Pseudo-inputs	1257	(8)
Edward Snelson
Zoubin Ghahramani
Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface	1265	(8)
Le Song
Evian Gordon
Elly Gysels
A General and Efficient Multiple Kernel Learning Algorithm	1273	(8)
Soren Sonnenburg
Gunnar Ratsch
Christin Schafer
Prediction and Change Detection	1281	(8)
Mark Steyvers
Scott Brown
Sensory Adaptation within a Bayesian Framework for Perception	1289	(8)
Alan Stocker
Eero Simoncelli
Describing Visual Scenes using Transformed Dirichlet Processes	1297	(8)
Erik Sudderth
Antonio Torralba
William Freeman
Alan Willsky
Active Learning for Misspecified Models	1305	(8)
Masashi Sugiyama
Temporal Abstraction in Temporal-difference Networks	1313	(8)
Richard Sutton
Eddie Rafols
Anna Koop
Sequence and Tree Kernels with Statistical Feature Mining	1321	(8)
Jun Suzuki
Hideki Isozaki
Silicon growth cones map silicon retina	1329	(8)
Brian Taba
Kwabena Boahen
Temporally changing synaptic plasticity	1337	(8)
Minija Tamosiunaite
Bernd Porr
Florentin Worgotter
Structured Prediction via the Extragradient Method	1345	(8)
Ben Taskar
Simon Lacoste-Julien
Michael Jordan
Affine Structure From Sound	1353	(8)
Sebastian Thrun
Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares	1361	(8)
Jo-Anne Ting
Aaron D'Souza
Kenji Yamamoto
Toshinori Yoshioka
Donna Hoffman
Shinji Kakel
Lauren Sergio
John Kalaska
Mitsuo Kawato
Peter Strick
Stefan Schaal
Generalization error bounds for classifiers trained with interdependent data	1369	(8)
Nicolas Usunier
Massih-Reza Amini
Patrick Gallinari
TD(0) Leads to Better Policies than Approximate Value Iteration	1377	(8)
Benjamin Van Roy
An aVLSI Cricket Ear Model	1385	(8)
Andre van Schaik
Richard Reeve
Craig Jin
Tara Hamilton
Goal-Based Imitation as Probabilistic Inference over Graphical Models	1393	(8)
Deepak Verma
Rajesh Rao
Kernels for gene regulatory regions	1401	(8)
Jean-Philippe Vert
Robert Thurman
William Stafford Noble
Consistency of one-class SVM and related algorithms	1409	(8)
Regis Vert
Jean-Philippe Vert
Multiple Instance Boosting for Object Detection	1417	(8)
Paul Viola
John Platt
Cha Zhang
Estimating the wrong Markov random field: Benefits in the computation-limited setting	1425	(8)
Martin Wainwright
Recovery of Jointly Sparse Signals from Few Random Projections	1433	(8)
Michael Wakin
Marco Duarte
Shriram Sarvotham
Dror Baron
Richard Baraniuk
Gaussian Process Dynamical Models	1441	(8)
Jack Wang
David Fleet
Aaron Hertzmann
Group and Topic Discovery from Relations and Their Attributes	1449	(8)
Xuerui Wang
Natasha Mohanty
Andrew McCallum
A Bayes Rule for Density Matrices	1457	(8)
Manfred Warmuth
Variational Bayesian Stochastic Complexity of Mixture Models	1465	(8)
Kazuho Watanabe
Sumio Watanabe
Distance Metric Learning for Large Margin Nearest Neighbor Classification	1473	(8)
Kilian Weinberger
John Blitzer
Lawrence Saul
Analyzing Auditory Neurons by Learning Distance Functions	1481	(8)
Inna Weiner
Tomer Hertz
Israel Nelken
Daphna Weinshall
Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games	1489	(8)
Gabriel Y. Weintraub
C. Lanier Benkard
Benjamin Van Roy
Active Bidirectional Coupling in a Cochlear Chip	1497	(8)
Bo Wen
Kwabena Boahen
Neural mechanisms of contrast dependent receptive field size in V1	1505	(8)
Jim Wielaard
Paul Sajda
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care	1513	(8)
Christopher K. I. Williams
John Quinn
Neil McIntosh
Comparing the Effects of Different Weight Distributions on Finding Sparse Representations	1521	(8)
David Wipf
Bhaskar Rao
Message passing for task redistribution on sparse graphs	1529	(8)
K. Y. Michael Wong
David Saad
Zhuo Gao
Modeling Neural Population Spiking Activity with Gibbs Distributions	1537	(8)
Frank Wood
Stefan Roth
Michael Black
Extracting Dynamical Structure Embedded in Neural Activity	1545	(8)
Byron Yu
Afsheen Afshar
Gopal Santhanam
Stephen I. Ryu
Krishna Shenoy
Maneesh Sahani
Soft Clustering on Graphs	1553	(8)
Kai Yu
Shipeng Yu
Volker Tresp
Augmented Rescorla-Wagner and Maximum Likelihood Estimation	1561	(8)
Alan Yuille
The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search	1569	(8)
Gregory Zelinsky
Wei Zhang
Bing Yu
Xin Chen
Dimitris Samaras
Learning Influence among Interacting Markov Chains	1577	(8)
Dong Zhang
Daniel Gatica-Perez
Samy Bengio
Deb Roy
Learning Multiple Related Tasks using Latent Independent Component Analysis	1585	(8)
Jian Zhang
Zoubin Ghahramani
Yiming Yang
Modeling Neuronal Interactivity using Dynamic Bayesian Networks	1593	(8)
Lei Zhang
Dimitris Samaras
Nelly Alia-Klein
Nora Volkow
Rita Goldstein
Analysis of Spectral Kernel Design based Semi-supervised Learning	1601	(8)
Tong Zhang
Rie Ando
A Computational Model of Eye Movements during Object Class Detection	1609	(8)
Wei Zhang
Hyejin Yang
Dimitris Samaras
Gregory Zelinsky
Separation of Music Signals by Harmonic Structure Modeling	1617	(8)
Yun-Gang Zhang
Chang-Shui Zhang
A Domain Decomposition Method for Fast Manifold Learning	1625	(8)
Zhenyue Zhang
Hongyuan Zha
A Hierarchical Compositional System for Rapid Object Detection	1633	(8)
Long Zhu
Alan Yuille
Cyclic Equilibria in Markov Games	1641	(8)
Martin Zinkevich
Amy Greenwald
Michael Littman
On the Convergence of Eigenspaces in Kernel Principal Component Analysis	1649	(8)
Laurent Zwald
Gilles Blanchard
Subject Index	1657	(7)
Author Index	1664