ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16 ...

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16

Proceedings of the 2003 Conference

edited by Sebastian Thrun, Lawrence K. Saul, and Bernhard Schölkopf

A Bradford Book The MIT Press Cambridge, Massachusetts London, England

Contents

Preface NIPS Committees Reviewers

Part I

xvii xxi xxiii

Algorithms and Architectures

Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky

1

Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles Mark Girolami, Ata Kaban

9

Hierarchical Topic Models and the Nested Chinese Restaurant Process David Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum

17

Max-Margin Markov Networks Ben Taskar, Carlos Guestrin, Daphne Koller

25

Invariant Pattern Recognition by Semi-Definite Programming Machines Thore Graepel, Ralf Herbrich

33

Learning a Distance Metric from Relative Comparisons Matthew Schultz, Thorsten Joachims

41

1-norm Support Vector Machines Ji Zhu, Saharon Rosset, Trevor Hastie, Rob Tibshirani

49

Image Reconstruction by Linear Programming Koji Tsuda, Gunnar Rätsch

57

Multiple-Instance Learning via Disjunctive Programming Boosting Stuart Andrews, Thomas Hofmann

65

Convex Methods for Transduction Tijl De Bie, Nello Cristianini

73

Kernel Dimensionality Reduction for Supervised Learning Kenji Fukumizu, Francis R. Bach, Michael I. Jordan

81

Clustering with the Connectivity Kernel Bernd Fischer, Volker Roth, Joachim M. Buhmann

89

Efficient and Robust Feature Extraction by Maximum Margin Criterion Haifeng Li, Tao Jiang, Keshu Zhang

97

Sparse Greedy Minimax Probability Machine Classification Thomas Strohmann, Andrei Belitski, Greg Grudic, Dennis DeCoste

105

Sequential Bayesian Kernel Regression Jaco Vermaak, Simon J. Godsill, Arnaud Doucet

113

Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms Claudio Gentile

121

Dynamical Modeling with Kernels for Nonlinear Time Series Prediction Liva Ralaivola, Florence d'Alché-Buc

129

Extreme Components Analysis Max Welling, Felix Agakov, Christopher K. I. Williams

137

Linear Dependent Dimensionality Reduction Nathan Srebro, Tommi S. Jaakkola

145

Locality Preserving Projections Xiaofei He, Partha Niyogi

153

Optimal Manifold Representation of Data: An Information Theoretic Approach Denis V. Chigirev, William Bialek

161

Ranking on Data Manifolds Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf

169

Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering Yoshua Bengio, Jean-François Paiement, Pascal Vincent, Olivier Delalleau, Nicolas Le Roux, Marie Ouimet

177

Pairwise Clustering and Graphical Models Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss

185

Tree-structured Approximations by Expectation Thomas Minka, Yuan Qi

193

Propagation

The IM Algorithm: A Variational Approach to Information David Barber, Felix Agakov

Maximization 201

Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply Eiji Mizutani, James W. Demmel

209

Large Scale Online Learning Léon Bottou, Yann Le Cun

217

Online Classification on a Budget Koby Crammer, Jaz Kandola, Yoram Singer

225

Online Learning via Global Feedback for Phrase Recognition Xavier Carreras, Lluis Marquez

233

Sparse Representation and Its Applications in Blind Source Separation Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu . .

241

Perspectives on Sparse Bayesian Learning David Wipf, Jason Palmer, Bhaskar Rao

249

Semi-Supervised Learning with Trees Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua Β. Tenenbaum

257

Efficient Exact k-NN and Nonparametric Classification in High Dimensions Ting Liu, Andrew W. Moore, Alexander Gray

265

Nonstationary Covariance Functions for Gaussian Process Regression Christopher J. Paciorek, Mark J. Schervish

273

Learning the k in k-means Greg Hamerly, Charles Elkan

281

Finding the M Most Probable Configurations in Arbitrary Graphical Models Chen Yanover, Yair Weiss

289

Non-linear CCA and PCA by Alignment of Local Models Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis

297

Learning Spectral Clustering Francis R. Bach, Michael I. Jordan

305

AUC Optimization vs. Error Rate Minimization Corinna Cortes, Mehryar

Mohri

313

Learning with Local and Global Consistency Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf. .

321

Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data Neil D. Lawrence

329

Warped Gaussian Processes Edward Snelson, Carl Edward Rasmussen, Zoubin Ghahramani

337

Can We Learn to Beat the Best Stock Allan Borodin, Ran El-Yaniv, Vincent Gogan

345

Approximate Expectation Maximization Tom Heskes, Onno Zoeter, Wim Wiegerinck

353

Linear Response for Approximate Inference Max Welling, Yee Whye Teh

361

Semidefinite Relaxations for Approximate inference on Graphs with Cycles Martin Wainwright, Michael I. Jordan

369

Approximability of Probability Distributions Alina Beygelzimer, Irina Rish

377

Denoising and Untangling Graphs Using Degree Priors Quaid D. Morris, Brendan J. Frey

385

On the Concentration of Expectation and Approximate inference in Layered Networks XuanLong Nguyen, Michael I. Jordan

393

Inferring State Sequences far Non-linear Systems with Embedded Hidden Markov Models Radford M. Neal, Matthew J. Beal, Sam T. Roweis

401

Fast Algorithms far Large-State-Space HMMs with Applications to Web Usage Analysis Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon M. Kleinberg

409

Wormholes Improve Contrastive Divergence Geoffrey Hinton, Max Welling, Andriy Mnih

417

Sample Propagation Mark A. Paskin

425

Generalised Propagation far Fast Fourier Transforms with Partial or Missing Data Amos J Storkey

433

Laplace Propagation Alexander Smola, Vishy Vishwanathan, Eleazar Eskin

441

Learning to Find Pre-Images Goekhan H. Bakir, Jason Weston, Bernhard Schölkopf

449

Semi-Definite Programming by Perceptron Learning Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor

457

Computing Gaussian Mixture Models with EM Using Equivalence Constraints Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall

465

Feature Selection in Clustering Problems Volker Roth, Tilman Lange

473

An Iterative Improvement Procedure for Hierarchical Clustering David Kauchak, Sanjoy Dasgupta

481

Identifying Structure across Ρre-partitioned Data Zvika Marx, Ido Dagan, Eli Shamir

489

Log-Linear Models for Label Ranking Ofer Dekel, Christopher Manning, Yoram Singer

497

Minimax Embeddings Matthew Brand

505

No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio, Yves Grandvalet

513

Bias-Corrected Bootstrap and Model Uncertainty Harald Steck, Tommi S. Jaakkola

521

Probability Estimates for Multi-Class Classification by Pairwise Coupling Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng

529

Necessary Intransitive Likelihood-Ratio Classifiers Gang Ji, Jeff Bilmes

537

Classification with Hybrid Generative/Discriminative Models Rajat Raina, Yirong Shen, Andrew Y. Ng, Andrew McCallum

545

A Model for Learning the Semantics of Pictures Victor Lavrenko, R. Manmatha, Jiwoon Jeon

553

Algorithms for Interdependent Security Games Michael Kearns, Luis Ortiz

561

Part II

Applications

Fast Embedding of Sparse Similarity Graphs John C. Platt

571

GPPS: A Gaussian Process Positioning System for Cellular Networks Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann

579

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, Sebastian Thrun

587

Semi-supervised Protein Classification Using Cluster Kernels Jason Weston, Christina Leslie, Dengyong Zhou, André Elisseeff, William S. Noble

595

Statistical Debugging of Sampled Programs Alice X. Zheng, Michael I. Jordan, Ben Liblit, Alex Aiken

603

Markov Models for Automated ECG Interval Analysis Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts

611

Parameterized Novelty Detectors for Environmental Sensor Monitoring Cynthia Archer, Todd Κ. Leen, Antonio Baptista

619

Modeling User Rating Profiles For Collaborative Filtering Benjamin Marlin

627

Application of SVMs for Colour Classification and Collision Detection with AIBO Robots Michael J. Quinlan, Stephan Κ. Chalup, Richard H. Middleton

635

Kernels for Structured Natural Language Data Jun Suzuki, Yutaka Sasaki, Eisaku Maeda

643

A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters Daniel B. Neill, Andrew W. Moore

651

Link Prediction in Relational Data Ben Taskar, Ming-Fai Wong, Pieter Abbeel, Daphne Koller

659

Unsupervised Color Decomposition Of Histologically Stained Tissue Samples Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price, Serge J. Belongie

667

ICA-based Clustering of Genes from Microarray Expression Data Su-In Lee, Serafim Batzoglou

675

Gene Expression Clustering with Functional Mixture Models Darya Chudova, Christopher Hart, Eric Mjolsness, Padhraic Smyth

683

Part III

Brain Imaging

Reconstructing MEG Sources with Unknown Correlations Maneesh Sahani, Srikantan S. Nagarajan

693

Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales Saori C. Tanaka, Kenji Doya, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki

701

Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell

709

Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer

717

Impact of an Energy Normalization Transform on the Peformance of the LF-ASD Brain Computer Interface Yu Zhou, Steven G. Mason, Gary E. Birch

725

Increase Information Transfer Rates in BCI by CSP Extension to Multi-class Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Müller

733

Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron Sung C. Jun, Barak A. Pearlmutter

741

Part IV

Control and Reinforcement Learning

Gaussian Processes in Reinforcement Learning Carl Edward Rasmussen, Malte Kuss

75]

Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun

759

ARA*: Anytime ARA* with Provable Bounds on Sub-Optimality Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun

767

Approximate Planning in POMDPs with Macro-Actions Georgios Theocharous, Leslie Pack Kaelbling

775

Envelope-based Planning in Relational MDPs Natalia H. Gardiol, Leslie Pack Kaelbling

783

An MDP-Based Approach to Online Mechanism Design David C. Parkes, Satinder Singh

791

Autonomous Helicopter Flight via Reinforcement Learning Andrew Y. Ng, H. Jin Kim, Michael I. Jordan, Shankar Sastry

799

All learning is Local: Multi-agent Learning in Global Reward Games Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling

807

How to Combine Expert (and Novice) Advice when Actions Impact the Environment? Daniela Pucci de Farias, Nimrod Megiddo

815

Bounded Finite State Controllers Pascal Poupart, Craig Boutilier

823

Policy Search by Dynamic Programming J. Andrew Bagnell, Sham Kakade, Andrew Y Ng, Jeff Schneider

831

Robustness in Markov Decision Problems with Uncertain Transition Matrices Arnab Nilim, Laurent El Ghaoui

839

Approximate Policy Iteration with a Policy Language Bias Alan Fern, Sungwook Yoon, Robert Givan

847

A Nonlinear Predictive State Representation Matthew R. Rudary, Satinder Singh

855

Learning Near-Pareto-Optimal Conventions in Polynomial Time XiaoFeng Wang, Tuomas Sandholm

863

Extending Q-Learning to General Adaptive Multi-Agent Systems Gerald Tesauro

871

Auction Mechanism Design for Multi-Robot Coordination Curt Bererton, Geoffrey J. Gordon, Sebastian Thrun

879

Distributed Optimization in Adaptive Networks Ciamac C. Moallemi, Benjamin Van Roy

887

Linear Program Approximations for Factored Continuous-State Markov Decision Processes Milos Hauskrecht, Branislav Kveton 895

Part V

Cognitive Science and Artificial Intelligence

Insights from Machine Learning Applied to Human Visual Classification Arnulf Β. Α. Graf, Felix Α. Wichmann

9O5

Sensory Modality Segregation Virginia R. de Sa

923

Reasoning about Time and Knowledge in Neural Symbolic Learning Systems Artur S. d'Avila Garcez, Luis C. Lamb

921

Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System Marc Toussaint

929

An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Jae Myung

937

Perception oft he Structure oft he Physical World Using Unknown Multimodal Sensors and Effectors D. Philipona, J.K. O'Regan, J.-P. Nadal, Olivier Coenen

945

From Algorithmic to Subjective Randomness Thomas L. Griffiths, Joshua B. Tenenbaum

953

Unsupervised Context Sensitive Language Acquisition from a Large Corpus Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman

961

A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments Yuuya Sugita, Jun Tani

959

Model Uncertainty in Classical Conditioning Aaron C. Courville, Nathaniel Daw, Geoffrey J. Gordon, David S. Touretzky

977

Part VI

Emerging Technologies

A Low-Power Analog VLSI Visual Collision Detector Reid R. Harrison

987

A Recurrent Model of Orientation Maps with Simple and Complex Cells Paul Merolla, Kwabena Boahen

995

A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems Rock Z. Shi, Timothy Horiuchi

1003

Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons Hsin Chen, Patrice Fleury, Alan F. Murray

1011

Training a Quantum Neural Network Bob Ricks, Dan Ventura Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses Adria Bofill-i-Petit, Alan F. Murray A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors Masakazu Yagi, Hideo Yamasaki, Tadashi Shibata

1035

Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control Francesco Tenore, Ralph Etienne-Cummings, M. Anthony Lewis

1043

Λ Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell Eric K. C. Tsang, Bertram E. Shi

Part VII

1051

Learning Theory

Invited Talk: Message passing in random satisfiability problems Marc Mezard

1061

Sparseness of Support Vector Machines—Some Asymptotically Sharp Bounds Ingo Steinwart

1069

An Infinity-sample Theory for Multi-category Large Margin Classification Tong Zhang

1077

Error Bounds for Transductive Learning via Compression and Clustering Philip Derbeko, Ran El-Yaniv, Ron Meir

1085

Online Learning of Non-stationary Sequences Claire Monteleoni, Tommi S. Jaakkola

1093

On the Dynamics of Boosting Cynthia Rudin, Ingrid Daubechies, Robert Schapire

1101

Boosting versus Covering Kohei Hatano, Manfred K. Warmuth

1109

Near-Minimax Optimal Classification with Dyadic Classification Trees Clayton Scott, Robert Nowak

1117

PAC-Bayesian Generic Chaining Jean-Yves Audibert, Olivier Bousquet

1125

Self-calibrating Probability Forecasting Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov

1133

When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? David Donoho, Victoria Stodden 1141 Learning Bounds for a Generalized Family of Bayesian Posterior Distributions Tong Zhang

1149

Variational Linear Response Manfred Opper, Ole Winther

1157

Geometric Clustering Using the Information Bottleneck Method Susanne Still, William Bialek, Léon Bottou

1165

Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates Peter L. Bartlett, Michael I. Jordan, Jon D. McAuliffe

1173

Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA David Hoyle, Magnus Rattray

1181

Approximate Analytical Bootstrap Averages for Support Vector Classifiers Dörthe Malzahn, Manfred Opper

1189

Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks Justin Weifel, Xiaohui Xie, H. Sebastian Seung

1197

Ambiguous Model Learning Made Unambiguous with I if Priors Gurinder S. Atwal, William Bialek

1205

Information Bottleneck for Gaussian Variables Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss

1213

Measure Based Regularization Olivier Bousquet, Olivier Chapelle, Matthias Hein

1221

Online Passive-Aggressive Algorithms Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer

1229

Margin Maximizing Loss Functions Saharon Rosset, Ji Zhu, Trevor Hastie

1237

Part VIII Neuroscience The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity Yuval Aviel, David Horn, Moshe Abeles

1247

Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons Thomas Natschläger, Wolfgang Maass

1255

The Diffusion-Limited Biochemical Signal-Relay Channel Peter J. Thomas, Donald J. Spencer, Sierra K. Hampton, Peter Park, Joseph P. Zurkus

1263

Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla

1271

Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans Nathan A. Dunn, John S. Conery, Shawn R. Lockery

1279

A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning Maneesh Sahani

1287

Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron? Yoichi Miyawaki, Masato Okada

1295

Plasticity Kernels and Temporal Statistics Peter Dayan, Michael Häusser .

1303

Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model Jonathan Pillow, Liam Paninski, Hero P. Simoncelli

1311

Design of Experiments via Information Theory Liam Paninski

1319

Probabilistic Inference in Human Sensorimotor Processing Konrad P. Körding, Daniel Wolpert

1327

Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura

1335

Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics Bernd Porr, Ausra Saudargiene, Florentin Wörgötter

1343

A Probabilistic Model of Auditory Space Representation in the Barn Owl Brian J. Fischer, Charles H. Anderson

1351

Decoding VI Neuronal Activity using Particle Filtering with Volterra Kernels Ryan Kelly, Tai Sing Lee

1359

Prediction on Spike Data Using Kernel Algorithms Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf

Part IX

1367

Speech and Signal Processing

Phonetic Speaker Recognition with Support Vector Machines William M. Campbell, Joseph p. Campbell, Douglas A. Reynolds, Douglas A. Jones, Timothy R. Leek

I377

A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications Pedro J. Moreno, Purdy P. Ho, Nuno Vasconcelos

1385

Probabilistic Inference of Speech Signals from Phaseless Spectrograms Kannan Achan, Sam T. Roweis, Brendan J. Frey

1393

Eigenvoice Speaker Adaptation via Composite Kernel PCA James T. Kwok, Brian Mak, Simon Ho

1401

Predicting Speech Intelligibility from a Population of Neurons Jeff Bondy, Ian Bruce, Suzanna Becker, Simon Haykin

1409

One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshita

1417

A Classification-based Cocktail-party Processor Nicoleta Roman, DeLiang Wang, Guy J. Brown

1425

Part X

Visual Processing

Local Phase Coherence and the Perception of Blur Zhou Wang, Eero R Simoncelli

1435

Nonlinear Processing in LGN Neurons Vincent Bonin, Valerio Mante, Matteo Carandini

1443

A Functional Architecture for Motion Pattern Processing in MSTd Scott A. Beardsley, Lucia M. Vaina

1451

Human and Ideal Observers for Detecting Image Curves A.L. Yuille, Fang Fang, Paul Schrater, Daniel Kersten

1459

Eye Movements for Reward Maximization Nathan Sprague, Dana Ballard

1467

Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina Matthias H. Hennig, Florentin Wörgötter

1475

Bounded Invariance and the Formation of Place Fields Reto Wyss, Paul F. M. J. Verschure

1483

-

Discriminating Deformable Shape Classes Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson

1491

Graphical Model For Recognizing Scenes and Objects Kevin Murphy, Antonio Torralba, William T. Freeman

1499

Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence Amit Gruber, Yair Weiss

1507

Mutual Boosting for Contextual Inference Michael Fink, Pietro Perona

1515

Learning a Rare Event Detection Cascade by Direct Feature Selection Jianxin Wu, James M. Rehg, Matthew D. Mullin

1523

Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar, Martial Hebert

1531

Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black

1539

Automatic Annotation of Everyday Movements Deva Ramanan, David A. Forsyth

1547

Learning Νon-Rigid 3D Shape from 2D Motion Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler

1555

Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Face Detection and Expression Classification Gwen Littlewort, Marian S. Bartlett, Ian Fasel, Joel Chenu, Takayuki Kanda, Hiroshi Ishiguro, Javier R. Movellan

1563

Salient Boundary Detection using Ratio Contour Song Wang, Toshiro Kubota, Jeffrey Mark Siskind

1571

A Computational Geometric Approach to Shape Analysis in Images Anuj Srivastava, Xiuwen Liu, Washington Mio, Eric Klassen

1579

A Sampled Texture Prior for Image Super-Resolution Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman

1587

Bayesian Color Constancy with Non-Gaussian Models Charles Rosenberg, Thomas Minka, Alok Ladsariya

1595

An Improved Scheme for Detection and Labelling in Johansson Displays Claudio Fanti, Marzia Polito, Pietro Perona

1603

Index of Authors Keyword Index

1611 1615