441. Learning to Find Pre-Images. Goekhan H. Bakir, Jason Weston, Bernhard Schölkopf .... Philip Derbeko, Ran El-Yaniv, Ron Meir. 1085. Online Learning of ...
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
