Advances In Neural Information Processing Systems 16

by Thrun, Sebastian; Saul, Lawrence K.; Scholkopf, Bernhard

• ISBN13: 9780262201520
• ISBN10: 0262201526
• Format: Hardcover
• Copyright: 2004-06-01
• Publisher: Bradford Books

Summary

The annual Neural Information Processing (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 thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2003 conference.

Table of Contents

Preface	xvii
NIPS Committees	xxi
Reviewers	xxiii
Part I Algorithms and Architectures
Efficient Multiscale Sampling from Products of Gaussian Mixtures	1	(8)
Alexander T. Ihler
Erik B. Sudderth
William T. Freeman
Alan S. Willsky
Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles	9	(8)
Mark Girolami
Ata Kaban
Hierarchical Topic Models and the Nested Chinese Restaurant Process	17	(8)
David Blei
Thomas L. Griffiths
Michael I. Jordan
Joshua B. Tenenbaum
Max-Margin Markov Networks	25	(8)
Ben Taskar
Carlos Guestrin
Daphne Koller
Invariant Pattern Recognition by Semi-Definite Programming Machines	33	(8)
Thore Graepel
Ralf Herbrich
Learning a Distance Metric from Relative Comparisons	41	(8)
Matthew Schultz
Thorsten Joachims
1-norm Support Vector Machines	49	(8)
Ji Zhu
Saharon Rosset
Trevor Hastie
Rob Tibshirani
Image Reconstruction by Linear Programming	57	(8)
Koji Tsuda
Gunnar Ratsch
Multiple-Instance Learning via Disjunctive Programming Boosting	65	(8)
Stuart Andrews
Thomas Hofmann
Convex Methods for Transduction	73	(8)
Tijl De Bie
Nello Cristianini
Kernel Dimensionality Reduction for Supervised Learning	81	(8)
Kenji Fukumizu
Francis R. Bach
Michael I. Jordan
Clustering with the Connectivity Kernel	89	(8)
Bernd Fischer
Volker Roth
Joachim M. Buhmann
Efficient and Robust Feature Extraction by Maximum Margin Criterion	97	(8)
Haifeng Li
Tao Jiang
Keshu Zhang
Sparse Greedy Minimax Probability Machine Classification	105	(8)
Thomas Strohmann
Andrei Belitski
Greg Grudic
Dennis DeCoste
Sequential Bayesian Kernel Regression	113	(8)
Jaco Vermaak
Simon J. Godsill
Arnaud Doucet
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms	121	(8)
Claudio Gentile
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction	129	(8)
Liva Ralaivola
Florence D'Alche-Buc
Extreme Components Analysis	137	(8)
Max Welling
Felix Agakov
Christopher K. I. Williams
Linear Dependent Dimensionality Reduction	145	(8)
Nathan Srebro
Tommi S. Jaakkola
Locality Preserving Projections	153	(8)
Xiaofei He
Partha Niyogi
Optimal Manifold Representation of Data: An Information Theoretic Approach	161	(8)
Denis V. Chigirev
William Bialek
Ranking on Data Manifolds	169	(8)
Dengyong Zhou
Jason Weston
Arthur Gretton
Olivier Bousquet
Bernhard Scholkopf
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering	177	(8)
Yoshua Bengio
Jean-Francois Paiement
Pascal Vincent
Olivier Delalleau
Nicolas Le Roux
Marie Ouimet
Pairwise Clustering and Graphical Models	185	(8)
Noam Shental
Assaf Zomet
Tomer Hertz
Yair Weiss
Tree-structured Approximations by Expectation Propagation	193	(8)
Thomas Minka
Yuan Qi
The IM Algorithm: A Variational Approach to Information Maximization	201	(8)
David Barber
Felix Agakov
Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply	209	(8)
Eiji Mizutani
James W. Demmel
Large Scale Online Learning	217	(8)
Leon Bottou
Yann Le Cun
Online Classification on a Budget	225	(8)
Koby Crammer
Jaz Kandola
Yoram Singer
Online Learning via Global Feedback for Phrase Recognition	233	(8)
Xavier Carreras
Lluis Marquez
Sparse Representation and Its Applications in Blind Source Separation	241	(8)
Yuanqing Li
Andrzej Cichocki
Shun-ichi Amari
Sergei Shishkin
Jianting Cao
Fanji Gu
Perspectives on Sparse Bayesian Learning	249	(8)
David Wipf
Jason Palmer
Bhaskar Rao
Semi-Supervised Learning with Trees	257	(8)
Charles Kemp
Thomas L. Griffiths
Sean Stromsten
Joshua B. Tenenbaum
Efficient Exact k-NN and Nonparametric Classification in High Dimensions	265	(8)
Ting Liu
Andrew W. Moore
Alexander Gray
Nonstationary Covariance Functions for Gaussian Process Regression	273	(8)
Christopher J. Paciorek
Mark J. Schervish
Learning the k in k-means	281	(8)
Greg Hamerly
Charles Elkan
Finding the M Most Probable Configurations in Arbitrary Graphical Models	289	(8)
Chen Yanover
Yair Weiss
Non-linear CCA and PCA by Alignment of Local Models	297	(8)
Jakob J. Verbeek
Sam T. Roweis
Nikos Vlassis
Learning Spectral Clustering	305	(8)
Francis R. Bach
Michael I. Jordan
AUC Optimization vs. Error Rate Minimization	313	(8)
Corinna Cortes
Mehryar Mohri
Learning with Local and Global Consistency	321	(8)
Dengyong Zhou
Olivier Bousquet
Thomas Navin Lal
Jason Weston
Bernhard Scholkopf
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data	329	(8)
Neil D. Lawrence
Warped Gaussian Processes	337	(8)
Edward Snelson
Carl Edward Rasmussen
Zoubin Ghahramani
Can We Learn to Beat the Best Stock	345	(8)
Allan Borodin
Ran El-Yaniv
Vincent Gogan
Approximate Expectation Maximization	353	(8)
Tom Heskes
Onno Zoeter
Wim Wiegerinck
Linear Response for Approximate Inference	361	(8)
Max Welling
Yee Whye Teh
Semidefinite Relaxations for Approximate Inference on Graphs with Cycles	369	(8)
Martin Wainwright
Michael I. Jordan
Approximability of Probability Distributions	377	(8)
Alina Beygelzimer
Irina Rish
Denoising and Untangling Graphs Using Degree Priors	385	(8)
Quaid D. Morris
Brendan J. Frey
On the Concentration of Expectation and Approximate Inference in Layered Networks	393	(8)
XuanLong Nguyen
Michael I. Jordan
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models	401	(8)
Radford M. Neal
Matthew J. Beal
Sam T. Roweis
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis	409	(8)
Pedro F. Felzenszwalb
Daniel P. Huttenlocher
Jon M. Kleinberg
Wormholes Improve Contrastive Divergence	417	(8)
Geoffrey Hinton
Max Welling
Andriy Mnih
Sample Propagation	425	(8)
Mark A. Paskin
Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data	433	(8)
Amos J Storkey
Laplace Propagation	441	(8)
Alexander Smola
Vishy Vishwanathan
Eleazar Eskin
Learning to Find Pre-Images	449	(8)
Goekhan H. Bakir
Jason Weston
Bernhard Scholkopf
Semi-Definite Programming by Perceptron Learning	457	(8)
Thore Graepel
Ralf Herbrich
Andriy Kharechko
John Shawe-Taylor
Computing Gaussian Mixture Models with EM Using Equivalence Constraints	465	(8)
Noam Shental
Aharon Bar-Hillel
Tomer Hertz
Daphna Weinshall
Feature Selection in Clustering Problems	473	(8)
Volker Roth
Tilman Lange
An Iterative Improvement Procedure for Hierarchical Clustering	481	(8)
David Kauchak
Sanjoy Dasgupta
Identifying Structure across Pre-partitioned Data	489	(8)
Zvika Marx
Ido Dagan
Eli Shamir
Log-Linear Models for Label Ranking	497	(8)
Ofer Dekel
Christopher Manning
Yoram Singer
Minimax Embeddings	505	(8)
Matthew Brand
No Unbiased Estimator of the Variance of K-Fold Cross-Validation	513	(8)
Yoshua Bengio
Yves Grandvalet
Bias-Corrected Bootstrap and Model Uncertainty	521	(8)
Harald Steck
Tommi S. Jaakkola
Probability Estimates for Multi-Class Classification by Pairwise Coupling	529	(8)
Ting-Fan Wu
Chih-Jen Lin
Ruby C. Weng
Necessary Intransitive Likelihood-Ratio Classifiers	537	(8)
Gang Ji
Jeff Bilmes
Classification with Hybrid Generative/Discriminative Models	545	(8)
Rajat Raina
Yirong Shen
Andrew Y. Ng
Andrew McCallum
A Model for Learning the Semantics of Pictures	553	(8)
Victor Lavrenko
R. Manmatha
Jiwoon Jeon
Algorithms for Interdependent Security Games	561	(10)
Michael Kearns
Luis Ortiz
Part II Applications
Fast Embedding of Sparse Similarity Graphs	571	(8)
John C. Platt
GPPS: A Gaussian Process Positioning System for Cellular Networks	579	(8)
Anton Schwaighofer
Marian Grigoras
Volker Tresp
Clemens Hoffmann
An Autonomous Robotic System for Mapping Abandoned Mines	587	(8)
David Ferguson
Aaron Morris
Dirk Hahnel
Christopher Baker
Zachary Omohundro
Carlos Reverte
Scott Thayer
Charles Whittaker
William Whittaker
Wolfram Burgard
Sebastian Thrun
Semi-supervised Protein Classification Using Cluster Kernels	595	(8)
Jason Weston
Christina Leslie
Dengyong Zhou
Andre Elisseeff
William S. Noble
Statistical Debugging of Sampled Programs	603	(8)
Alice X. Zheng
Michael I. Jordan
Ben Liblit
Alex Aiken
Markov Models for Automated ECG Interval Analysis	611	(8)
Nicholas P. Hughes
Lionel Tarassenko
Stephen J. Roberts
Parameterized Novelty Detectors for Environmental Sensor Monitoring	619	(8)
Cynthia Archer
Todd K. Leen
Antonio Baptista
Modeling User Rating Profiles For Collaborative Filtering	627	(8)
Benjamin Marlin
Application of SVMs for Colour Classification and Collision Detection with AIBO Robots	635	(8)
Michael J. Quinlan
Stephan K. Chalup
Richard H. Middleton
Kernels for Structured Natural Language Data	643	(8)
Jun Suzuki
Yutaka Sasaki
Eisaku Maeda
A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters	651	(8)
Daniel B. Neill
Andrew W. Moore
Link Prediction in Relational Data	659	(8)
Ben Taskar
Ming-Fai Wong
Pieter Abbeel
Daphne Koller
Unsupervised Color Decomposition Of Histologically Stained Tissue Samples	667	(8)
Andrew Rabinovich
Sameer Agarwal
Casey Laris
Jeffrey H. Price
Serge J. Belongie
ICA-based Clustering of Genes from Microarray Expression Data	675	(8)
Su-In Lee
Serafim Batzoglou
Gene Expression Clustering with Functional Mixture Models	683	(10)
Darya Chudova
Christopher Hart
Eric Mjolsness
Padhraic Smyth
Part III Brain Imaging
Reconstructing MEG Sources with Unknown Correlations	693	(8)
Maneesh Sahani
Srikantan S. Nagarajan
Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales	701	(8)
Saori C. Tanaka
Kenji Doya
Go Okada
Kazutaka Ueda
Yasumasa Okamoto
Shigeto Yamawaki
Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects	709	(8)
Xuerui Wang
Rebecca Hutchinson
Tom M. Mitchell
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression	717	(8)
Roland Vollgraf
Michael Scholz
Ian A. Meinertzhagen
Klaus Obermayer
Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface	725	(8)
Yu Zhou
Steven G. Mason
Gary E. Birch
Increase Information Transfer Rates in BCI by CSP Extension to Multi-class	733	(8)
Guido Dornhege
Benjamin Blankertz
Gabriel Curio
Klaus-Robert Miller
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron	741	(10)
Sung C. Jun
Barak A. Pearlmutter
Part IV Control and Reinforcement Learning
Gaussian Processes in Reinforcement Learning	751	(8)
Carl Edward Rasmussen
Malte Kuss
Applying Metric-Trees to Belief-Point POMDPs	759	(8)
Joelle Pineau
Geoffrey J. Gordon
Sebastian Thrun
ARA*: Anytime A* with Provable Bounds on Sub-Optimality	767	(8)
Maxim Likhachev
Geoffrey J. Gordon
Sebastian Thrun
Approximate Planning in POMDPs with Macro-Actions	775	(8)
Georgios Theocharous
Leslie Pack Kaelbling
Envelope-based Planning in Relational MDPs	783	(8)
Natalia H. Gardiol
Leslie Pack Kaelbling
An MDP-Based Approach to Online Mechanism Design	791	(8)
David C. Parkes
Satinder Singh
Autonomous Helicopter Flight via Reinforcement Learning	799	(8)
Andrew Y. Ng
H. Jin Kim
Michael I. Jordan
Shankar Sastry
All learning is Local: Multi-agent Learning in Global Reward Games	807	(8)
Yu-Han Chang
Tracey Ho
Leslie Pack Kaelbling
How to Combine Expert (and Novice) Advice when Actions Impact the Environment?	815	(8)
Daniela Pucci de Farias
Nimrod Megiddo
Bounded Finite State Controllers	823	(8)
Pascal Poupart
Craig Boutilier
Policy Search by Dynamic Programming	831	(8)
J. Andrew Bagnell
Sham Kakade
Andrew Y. Ng
Jeff Schneider
Robustness in Markov Decision Problems with Uncertain Transition Matrices	839	(8)
Arnab Nilim
Laurent El Ghaoui
Approximate Policy Iteration with a Policy Language Bias	847	(8)
Alan Fern
Sungwook Yoon
Robert Givan
A Nonlinear Predictive State Representation	855	(8)
Matthew R. Rudary
Satinder Singh
Learning Near-Pareto-Optimal Conventions in Polynomial Time	863	(8)
XiaoFeng Wang
Tuomas Sandholm
Extending Q-Learning to General Adaptive Multi-Agent Systems	871	(8)
Gerald Tesauro
Auction Mechanism Design for Multi-Robot Coordination	879	(8)
Curt Bererton
Geoffrey J. Gordon
Sebastian Thrun
Distributed Optimization in Adaptive Networks	887	(8)
Ciamac C. Moallemi
Benjamin Van Roy
Linear Program Approximations for Factored Continuous-State Markov Decision Processes	895	(10)
Milos Hauskrecht
Branislav Kveton
Part V Cognitive Science and Artificial Intelligence
Insights from Machine Learning Applied to Human Visual Classification	905	(8)
Arnulf B. A. Graf
Felix A. Wichmann
Sensory Modality Segregation	913	(8)
Virginia R. de Sa
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems	921	(8)
Artur S. d'Avila Garcez
Luis C. Lamb
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System	929	(8)
Marc Toussaint
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science	937	(8)
Woojae Kim
Daniel J. Navarro
Mark A. Pitt
In Jae Myung
Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors	945	(8)
D. Philipona
J.K. O'Regan
J.-P. Nadal
Olivier Coenen
From Algorithmic to Subjective Randomness	953	(8)
Thomas L. Griffiths
Joshua B. Tenenbaum
Unsupervised Context Sensitive Language Acquisition from a Large Corpus	961	(8)
Zach Solan
David Horn
Eytan Ruppin
Shimon Edelman
A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments	969	(8)
Yuuya Sugita
Jun Tani
Model Uncertainty in Classical Conditioning	977	(10)
Aaron C. Courville
Nathaniel Daw
Geoffrey J. Gordon
David S. Touretzky
Part VI Emerging Technologies
A Low-Power Analog VLSI Visual Collision Detector	987	(8)
Reid R. Harrison
A Recurrent Model of Orientation Maps with Simple and Complex Cells	995	(8)
Paul Merolla
Kwabena Boahen
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems	1003	(8)
Rock Z. Shi
Timothy Horiuchi
Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons	1011	(8)
Hsin Chen
Patrice Fleury
Alan F. Murray
Training a Quantum Neural Network	1019	(8)
Bob Ricks
Dan Ventura
Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses	1027	(8)
Adria Bofill-i-Petit
Alan F. Murray
A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors	1035	(8)
Masakazu Yagi
Hideo Yamasaki
Tadashi Shibata
Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control	1043	(8)
Francesco Tenore
Ralph Etienne-Cummings
M. Anthony Lewis
A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell	1051	(10)
Eric K. C. Tsang
Bertram E. Shi
Part VII Learning Theory
Invited Talk: Message passing in random satisfiability problems	1061	(8)
Marc Mezard
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds	1069	(8)
Ingo Steinwart
An Infinity-sample Theory for Multi-category Large Margin Classification	1077	(8)
Tong Zhang
Error Bounds for Transductive Learning via Compression and Clustering	1085	(8)
Philip Derbeko
Ran El-Yaniv
Ron Meir
Online Learning of Non-stationary Sequences	1093	(8)
Claire Monteleoni
Tommi S. Jaakkola
On the Dynamics of Boosting	1101	(8)
Cynthia Rudin
Ingrid Daubechies
Robert Schapire
Boosting versus Covering	1109	(8)
Kohei Hatano
Manfred K. Warmuth
Near-Minimax Optimal Classification with Dyadic Classification Trees	1117	(8)
Clayton Scott
Robert Nowak
PAC-Bayesian Generic Chaining	1125	(8)
Jean-Yves Audibert
Oliver Bousquet
Self-calibrating Probability Forecasting	1133	(8)
Vladimir Vovk
Glenn Shafer
Ilia Nouretdinov
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?	1141	(8)
David Donoho
Victoria Stodden
Learning Bounds for a Generalized Family of Bayesian Posterior Distributions	1149	(8)
Tong Zhang
Variational Linear Response	1157	(8)
Manfred Opper
Ole Winther
Geometric Clustering Using the Information Bottleneck Method	1165	(8)
Susanne Still
William Bialek
Leon Bottou
Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates	1173	(8)
Peter L. Bartlett
Michael I. Jordan
Jon D. McAuliffe
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA	1181	(8)
David Hoyle
Magnus Rattray
Approximate Analytical Bootstrap Averages for Support Vector Classifiers	1189	(8)
Dorthe Malzahn
Manfred Opper
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks	1197	(8)
Justin Werfel
Xiaohui Xie
H. Sebastian Seung
Ambiguous Model Learning Made Unambiguous with 1/f Priors	1205	(8)
Gurinder S. Atwal
William Bialek
Information Bottleneck for Gaussian Variables	1213	(8)
Gal Chechik
Amir Globerson
Naftali Tishby
Yair Weiss
Measure Based Regularization	1221	(8)
Olivier Bousquet
Olivier Chapelle
Matthias Hein
Online Passive-Aggressive Algorithms	1229	(8)
Shai Shalev-Shwartz
Koby Crammer
Ofer Dekel
Yoram Singer
Margin Maximizing Loss Functions	1237	(10)
Saharon Rosset
Ji Zhu
Trevor Hastie
Part VIII Neuroscience
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity	1247	(8)
Yuval Aviel
David Horn
Moshe Abeles
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons	1255	(8)
Thomas Natschlager
Wolfgang Maass
The Diffusion-Limited Biochemical Signal-Relay Channel	1263	(8)
Peter J. Thomas
Donald J. Spencer
Sierra K. Hampton
Peter Park
Joseph P. Zurkus
Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory	1271	(8)
Aaron J. Gruber
Peter Dayan
Boris S. Gutkin
Sara A. Solla
Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans	1279	(8)
Nathan A. Dunn
John S. Conery
Shawn R. Lockery
A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning	1287	(8)
Maneesh Sahani
Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?	1295	(8)
Yoichi Miyawaki
Masato Okada
Plasticity Kernels and Temporal Statistics	1303	(8)
Peter Dayan
Michael Hausser
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model	1311	(8)
Jonathan Pillow
Liam Paninski
Eero P. Simoncelli
Design of Experiments via Information Theory	1319	(8)
Liam Paninski
Probabilistic Inference in Human Sensorimotor Processing	1327	(8)
Konrad P. Kording
Daniel Wolpert
Estimating Internal Variables and Parameters of a Learning Agent by a Particle Filter	1335	(8)
Kazuyuki Samejima
Kenji Doya
Yasumasa Ueda
Minoru Kimura
Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics	1343	(8)
Bernd Porr
Ausra Saudargiene
Florentin Worgotter
A Probabilistic Model of Auditory Space Representation in the Barn Owl	1351	(8)
Brian J. Fischer
Charles H. Anderson
Decoding VI Neuronal Activity using Particle Filtering with Volterra Kernels	1359	(8)
Ryan Kelly
Tai Sing Lee
Prediction on Spike Data Using Kernel Algorithms	1367	(10)
Jan Eichhorn
Andreas Tolias
Alexander Zien
Malte Kuss
Carl Edward Rasmussen
Jason Weston
Nikos Logothetis
Bernhard Scholkopf
Part IX Speech and Signal Processing
Phonetic Speaker Recognition with Support Vector Machines	1377	(8)
William M. Campbell
Joseph P. Campbell
Douglas A. Reynolds
Douglas A. Jones
Timothy R. Leek
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications	1385	(8)
Pedro J. Moreno
Purdy P. Ho
Nuno Vasconcelos
Probabilistic Inference of Speech Signals from Phaseless Spectrograms	1393	(8)
Kannan Achan
Sam T. Roweis
Brendan J. Frey
Eigenvoice Speaker Adaptation via Composite Kernel PCA	1401	(8)
James T. Kwok
Brian Mak
Simon Ho
Predicting Speech Intelligibility from a Population of Neurons	1409	(8)
Jeff Bondy
Ian Bruce
Suzanna Becker
Simon Haykin
One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals	1417	(8)
Tomohiro Nakatani
Masato Miyoshi
Keisuke Kinoshita
A Classification-based Cocktail-party Processor	1425	(10)
Nicoleta Roman
DeLiang Wang
Guy J. Brown
Part X Visual Processing
Local Phase Coherence and the Perception of Blur	1435	(8)
Zhou Wang
Eero P. Simoncelli
Nonlinear Processing in LGN Neurons	1443	(8)
Vincent Bonin
Valerio Mante
Matteo Carandini
A Functional Architecture for Motion Pattern Processing in MSTd	1451	(8)
Scott A. Beardsley
Lucia M. Vaina
Human and Ideal Observers for Detecting Image Curves	1459	(8)
A.L. Yuille
Fang Fang
Paul Schrater
Daniel Kersten
Eye Movements for Reward Maximization	1467	(8)
Nathan Sprague
Dana Ballard
Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina	1475	(8)
Matthias H. Hennig
Florentin Worgotter
Bounded Invariance and the Formation of Place Fields	1483	(8)
Reto Wyss
Paul F. M. J. Verschure
Discriminating Deformable Shape Classes	1491	(8)
Salvador Ruiz-Correa
Linda G. Shapiro
Marina Meila
Gabriel Berson
Graphical Model For Recognizing Scenes and Objects	1499	(8)
Kevin Murphy
Antonio Torralba
William T. Freeman
Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence	1507	(8)
Amit Gruber
Yair Weiss
Mutual Boosting for Contextual Inference	1515	(8)
Michael Fink
Pietro Perona
Learning a Rare Event Detection Cascade by Direct Feature Selection	1523	(8)
Jianxin Wu
James M. Rehg
Matthew D. Mullin
Discriminative Fields for Modeling Spatial Dependencies in Natural Images	1531	(8)
Sanjiv Kumar
Martial Hebert
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation	1539	(8)
Leonid Signal
Michael Isard
Benjamin H. Sigelman
Michael J. Black
Automatic Annotation of Everyday Movements	1547	(8)
Deva Ramanan
David A. Forsyth
Learning Non-Rigid 3D Shape from 2D Motion	1555	(8)
Lorenzo Torresani
Aaron Hertzmann
Christoph Bregler
Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Face Detection and Expression Classification	1563	(8)
Gwen Littlewort
Marian S. Bartlett
Ian Fasel
Joel Chenu
Takayuki Kanda
Hiroshi Ishiguro
Javier R. Movellan
Salient Boundary Detection using Ratio Contour	1571	(8)
Song Wang
Toshiro Kubota
Jeffrey Mark Siskind
A Computational Geometric Approach to Shape Analysis in Images	1579	(8)
Anuj Srivastava
Xiuwen Liu
Washington Mio
Eric Klassen
A Sampled Texture Prior for Image Super-Resolution	1587	(8)
Lyndsey C. Pickup
Stephen J. Roberts
Andrew Zisserman
Bayesian Color Constancy with Non-Gaussian Models	1595	(8)
Charles Rosenberg
Thomas Minka
Alok Ladsariya
An Improved Scheme for Detection and Labelling in Johansson Displays	1603	(8)
Claudio Fanti
Marzia Polito
Pietro Perona
Index of Authors	1611	(4)
Keyword Index	1615