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NIPS*2002
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| Bayesian Monte Carlo Carl Edward Rasmussen , Zoubin Ghahramani [ps][pdf] Mean Field Approach to a Probabilistic Model in Information Retrieval Bin Wu , K. Y. Michael Wong , David Bodoff [ps][pdf] Distance Metric Learning with Application to Clustering with Side-Information Eric Xing , Andrew Ng , Michael Jordan , Stuart Russell [ps][pdf] Adapting Codes and Embeddings for Polychotomies Gunnar R [ps][pdf] Knowledge-Based Support Vector Machine Classifiers Glenn Fung , Olvi Mangasarian , Jude Shavlik [ps][pdf] Gaussian Process Priors With Uncertain Input -- Application to Multiple-Step Ahead Time Series Forecasting Agathe Girard , Carl Edward Rasmussen , Roderick Murray-Smith [ps][pdf] Kernel Design Using Boosting Koby Crammer , Joseph Keshet , Yoram Singer [ps][pdf] Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems Sepp Hochreiter , Michael Mozer , Klaus Obermayer [ps][pdf] Adaptive Scaling for Feature Selection in SVMs Stephane Canu , Yves Grandvalet [ps][pdf] Support Vector Machines for Multiple-Instance Learning Stuart Andrews , Ioannis Tsochantaridis , Thomas Hofmann [ps][pdf] Fast Kernels for String and Tree Matching S.V.N. Viswanathan , Alexander Smola [ps][pdf] Generalized Linear Models Geoffrey Gordon [ps][pdf] Cluster Kernels for Semi-Supervised Learning Olivier Chapelle , Jason Weston , Bernhard S [ps][pdf] Adaptive Nonlinear System Identification with Echo State Networks Herbert Jaeger [ps][pdf] Rational Kernels Corinna Cortes , Patrick Haffner , Mehryar Mohri [ps][pdf] Fast Sparse Gaussian Process Methods: The Informative Vector Machine Neil Lawrence , Matthias Seeger , Ralf Herbrich [ps][pdf] Stability-Based Model Selection Tilman Lange , Mikio Braun , Volker Roth , Joachim Buhmann [ps][pdf] Feature Selection in Mixture-Based Clustering Martin Law , Anil Jain , Mario Figueiredo [ps][pdf] String Kernels, Fisher Kernels and Finite State Automata Craig Saunders , John Shawe-Taylor , Alexei Vinokourov [ps][pdf] Boosting Density Estimation Saharon Rosset , Eran Segal [ps][pdf] Product Density Estimation: A Statistical View of Independent Components Analysis Trevor Hastie , Robert Tibshirani [ps][pdf] Learning Semantic Similarity Jaz Kandola , John Shawe-Taylor , Nello Cristianini [ps][pdf] Self Supervised Boosting Max Welling , Richard Zemel , Geoffrey Hinton [ps][pdf] Automatic Derivation of Statistical Algorithms: The EM Family and Beyond Alexander G. Gray , Bernd Fischer , Johann Schumann , Wray Buntine [ps][pdf] Intrinsic Dimension Estimation Using Packing Numbers Balazs Kegl [ps][pdf] Half-Lives of Eigenflows for Spectral Clustering Chakra Chennubhotla , Allan Jepson [ps][pdf] On the Dirichlet Prior and Bayesian Regularization Harald Steck , Tommi Jaakkola [ps][pdf] Global Versus Local Methods in Nonlinear Dimensionality Reduction Vin de Silva , Joshua Tenenbaum [ps][pdf] Dynamic Bayesian Networks with Deterministic Latent Tables David Barber [ps][pdf] Parametric Mixture Models for Multi-Labeled Text Naonori Ueda , Kazumi Saito [ps][pdf] Clustering with the Fisher Score Koji Tsuda , Motoaki Kawanabe , Klaus-Robert M [ps][pdf] Adaptive Classification by Variational Kalman Filtering Peter Sykacek , Stephen Roberts [ps][pdf] Boosted Dyadic Kernel Discriminants Baback Moghaddam , Gregory Shakhnarovich [ps][pdf] Regularized Greedy Importance Sampling Finnegan Southey , Dale Schuurmans , Ali Boushehri [ps][pdf] One-Class LP Classifiers for Dissimilarity Representations Elzbieta Pekalska , David Tax , Robert Duin [ps][pdf] A Formulation for Minimax Probability Machine Regression Thomas Strohmann , Greg Grudic [ps][pdf] VIBES: A Variational Inference Engine for Bayesian Networks Christopher Bishop , David Spiegelhalter , John Winn [ps][pdf] A Differential Semantics for Jointree Algorithms James D. Park , Adnan Darwiche [ps][pdf] Constraint Classification: A New Approach to Multiclass Classification and Ranking Sariel Har-Peled , Dan Roth , Dav Zimak [ps][pdf] Nash Propagation for Loopy Graphical Games Luis Ortiz , Michael Kearns [ps][pdf] Using Tarjan's Red Rule for Fast Dependency Tree Construction Dan Pelleg , Andrew Moore [ps][pdf] Exact MAP Estimates by (Hyper)Tree Agreement Martin Wainwright , [ps][pdf] Going Metric: Denoising Pairwise Data Volker Roth , Julian Laub , Joachim Buhmann , Klaus-Robert M [ps][pdf] Manifold Parzen Windows Pascal Vincent , Yoshua Bengio [ps][pdf] Stochastic Neighbor Embedding Geoffrey Hinton , Sam Roweis [ps][pdf] Automatic Alignment of Local Representations Yee Teh , Sam Roweis [ps][pdf] Informed Projections David Cohn [ps][pdf] Extracting Relevant Structures with Side Information Gal Chechik , Naftali Tishby [ps][pdf] Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting Kenji Fukumizu , Shotaro Akaho , Shun-ichi Amari [ps][pdf] Kernel Dependency Estimation Jason Weston , Olivier Chapelle , Andre Elisseeff , Bernhard S [ps][pdf] Handling Missing Data with Variational Bayesian Learning of ICA Kwokleung Chan , Te-Won Lee , Terrence Sejnowski [ps][pdf] Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers Sepp Hochreiter , Klaus Obermayer [ps][pdf] Learning with Multiple Labels Rong Jin , Zoubin Ghahramani [ps][pdf] Robust Novelty Detection with Single-Class MPM Gert Lanckriet , Laurent El Ghaoui , Michael Jordan [ps][pdf] Artefactual Structure from Least-Squares Multidimensional Scaling Nicholas Hughes , David Lowe [ps][pdf] The Decision List Machine Marina Sokolova , Mario Marchand , Nathalie Japkowicz , John Shawe-Taylor [ps][pdf] Using Manifold Stucture for Partially Labeled Classification Mikhail Belkin , Partha Niyogi [ps][pdf] Taxonomy of Large Margin Principle Algorithms for Ordinal Regression Problems Amnon Shashua , Anat Levin [ps][pdf] Multiclass Learning by Probabilistic Embeddings Ofer Dekel , Yoram Singer [ps][pdf] Transductive and Inductive Methods for Approximate Gaussian Process Regression Anton Schwaighofer , Volker Tresp [ps][pdf] Charting a Manifold Matthew Brand [ps][pdf] Annealing and The Rate Distortion Problem Albert E. Parker , Tomas Gedeon , Alexander Dimitrov , Bryan Roosien [ps][pdf] Discriminative Learning for Label Sequences via Boosting Yasemin Altun , Thomas Hofmann , Mark Johnson [ps][pdf] Discriminative Densities from Maximum Contrast Estimation Peter Meinicke , Thorsten Twellmann , Helge Ritter [ps][pdf] FloatBoost Learning for Classification Stan Li , Zhenqiu Zhang , Long Zhu , Heung-Yeung Shum , Hongjiang Zhang [ps][pdf] Incremental Gaussian Processes Joaquin Quionero Candela , Ole Winther [ps][pdf] Learning Graphical Models with Mercer Kernels Francis R. Bach , Michael Jordan [ps][pdf] Multiple Cause Vector Quantization David Ross , Richard Zemel [ps][pdf] Information Regularization with Partially Labeled Data Martin Szummer , Tommi Jaakkola [ps][pdf] Derivative Observations in Gaussian Process Models of Dynamic Systems Roderick Murray-Smith , E. Solak , Dough Leith , W. E. Leithead , Carl Edward Rasmussen [ps][pdf] Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines Fei Sha , Lawrence K. Saul , Daniel Lee [ps][pdf] Location Estimation with a Differential Update Network Ali Rahimi , Trevor Darrell [ps][pdf] Real-time Particle Filters Cody Kwok , Dieter Fox , Marina Meila [ps][pdf] Identity Uncertainty and Citation Matching Hanna Pasula , Bhaskara Marthi , Brian Milch , Stuart Russell , Ilya Shpitser [ps][pdf] The RA Scanner: Classification of Rheumatoid Joint Inflammation Based on Laser Imaging Anton Schwaighofer , Volker Tresp , Peter Mayer , Alexander Scheel , Gerhard M [ps][pdf] Mismatch String Kernels for SVM Protein Classification Christina Leslie , Eleazar Eskin , Jason Weston , William Noble [ps][pdf] Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA Jean-Philippe Vert , Minoru Kanehisa [ps][pdf] Real-Time Monitoring of Complex Industrial Processes with Particle Filters Ruben Morales-Menendez , Nando de Freitas , David Poole [ps][pdf] A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains Dmitry Pavlov , David Pennock [ps][pdf] Prediction of Protein Topologies Using GIOHMMS and GRNNs Gianluca Pollastri , Pierre Baldi , Alessandro Vullo , Paolo Frasconi [ps][pdf] Approximate Inference and Protein Folding Chen Yanover , Yair Weiss [ps][pdf] Adaptive Caching by Refetching Robert Gramacy , Manfred Warmuth , Scott Brandt , Ismail Ari [ps][pdf] Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis Alexei Vinokourov , John Shawe-Taylor , Nello Cristianini [ps][pdf] Improving a Page Classifier with Anchor Extraction and Link Analysis William Cohen [ps][pdf] A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences Eric Xing , Michael Jordan , Richard Karp , Stuart Russell [ps][pdf] Learning to Classify Galaxy Shapes Using the EM Algorithm Sergey Kirshner , Igor Cadez , Padhraic Smyth , Chandrika Kamath [ps][pdf] Name That Song! A Probabilistic Approach to Querying on Music and Text Eric Brochu , Nando de Freitas [ps][pdf] A Probabilistic Model for Learning Concatenative Morphology Matthew Snover , Michael Brent [ps][pdf] Learning Attractor Landscapes for Learning Motor Primitives Auke Ijspeert , Jun Nakanishi , Stefan Schaal [ps][pdf] Learning a Forward Model of a Reflex Bernd Porr , Florentin W [ps][pdf] Minimax Differential Dynamic Programming: An Application to Robust Biped Walking Jun Morimoto , Christopher Atkeson [ps][pdf] Bias-Optimal Incremental Problem Solving Jurgen Schmidhuber [ps][pdf] Value-Directed Compression of POMDPs Pascal Poupart , Craig Boutilier [ps][pdf] Optimality of Reinforcement Learning Algorithms with Linear Function Approximation Ralf Schoknecht [ps][pdf] Speeding up the Parti-Game Algorithm Maxim Likhachev , Sven Koenig [ps][pdf] Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games XiaoFeng Wang , Tuomas Sandholm [ps][pdf] Convergent Combinations of Reinforcement Learning with Linear Function Approximation Ralf Schoknecht , Artur Merke [ps][pdf] Approximate Linear Programming for Average-Cost Dynamic Programming Daniela Pucci de Farias , Benjamin Van Roy [ps][pdf] A Convergent Form of Approximate Policy Iteration Theodore Perkins , Doina Precup [ps][pdf] Efficient Learning Equilibrium Ronen Brafman , Moshe Tennenholtz [ps][pdf] Nonparametric Representation of Policies and Value Functions: A Trajectory-Based Approach Christopher Atkeson , Jun Morimoto [ps][pdf] Learning to Take Concurrent Actions Khashayar Rohanimanesh , Sridhar Mahadevan [ps][pdf] Learning in Multiagent Markov Games Michail G. Lagoudakis , Ronald Parr [ps][pdf] Exponential Family PCA for Belief Compression in POMDPs Nicholas Roy , Geoffrey Gordon [ps][pdf] Fast Exact Inference with a Factored Model for Natural Language Parsing Dan Klein , Christopher D. Manning [ps][pdf] Prediction and Semantic Association Thomas Griffiths , Mark Steyvers [ps][pdf] Replay, Repair and Consolidation Szabolcs Kali , Peter Dayan [ps][pdf] A Minimal Intervention Principle for Coordinated Movement Emanuel Todorov , Michael Jordan [ps][pdf] Categorization Under Complexity: A Unified MDL Account of Human Learning of Regular and Irregular Categories David Fass , Jacob Feldman [ps][pdf] Theory-Based Causal Inference Joshua Tenenbaum , Thomas Griffiths [ps][pdf] How the Poverty of Stimulus Solves the Poverty of Stimulus Willem Zuidema [ps][pdf] Bayesian Models of Inductive Generalization Neville Sanjana , Joshua Tenenbaum [ps][pdf] Combining Dimensions and Features in Similarity-Based Representations Daniel J. Navarro , Michael D. Lee [ps][pdf] Modeling Midazolam's Effect on the Hippocampus and Recognition Memory Kenneth J. Malmberg , Rene Zeelenberg , Richard M. Shiffrin [ps][pdf] Dynamical Causal Learning David Danks , Thomas Griffiths , Joshua Tenenbaum [ps][pdf] Visual Development Aids the Acquisition of Motion Velocity Sensitivities Robert Jacobs , Melissa Dominguez [ps][pdf] Timing and Partial Observability in the Dopamine System Nathaniel Daw , Aaron Courville , David Touretzky [ps][pdf] Automatic Acquisition and Efficient Representation of Syntactic Structures Zach Solan , Eytan Ruppin , David Horn , Shimon Edelman [ps][pdf] Optoelectronic Implementation of a Fitzhugh-Nagumo Neural Model Alexandre Romariz , Kelvin Wagner [ps][pdf] Circuit Model of Short-Term Synaptic Dynamics Shih-Chii Liu , Malte B [ps][pdf] Adaptive Quantization and Density Estimation in Silicon David Hsu , Seth Bridges , Miguel Figueroa , Chris Diorio [ps][pdf] Circuits for Bistable Spike-Timing-Dependent Plasticity Neuromorphic VLSI Synapses Giacomo Indiveri [ps][pdf] Retinal Processing Emulation in a Programmable 2-Layer Analog Array Processor CMOS Chip Ricardo Carmona , Francisco Jimenez-Garrido , Rafael Dominguez-Castro , Servando Espejo , Angel Rodriguez-Vazquez [ps][pdf] Improving Transfer Rates in Brain Computer Interfacing: A Case Study Peter Meinicke , Matthias Kaper , Florian Hoppe , Helge Ritter [ps][pdf] Combining Features for BCI Guido Dornhege , Benjamin Blankertz , Gabriel Curio , Klaus-Robert M [ps][pdf] Classifying Patterns of Visual Motion - a Neuromorphic Approach Jakob Heinzle , Alan Stocker [ps][pdf] Developing Topography and Ocular Dominance Using Two aVLSI Vision Sensors and a Neurotrophic Model of Plasticity Terry Elliott , Jorg Kramer [ps][pdf] Topographic Map Formation by Silicon Growth Cones Brian Taba , Kwabena Boahen [ps][pdf] Spike Timing-Dependent Plasticity in the Address Domain R. Jacob Vogelstein , Francesco Tenore , Ralf Philipp , Miriam S. Adlerstein , David H. Goldberg , Gert Cauwenberghs [ps][pdf] Field-Programmable Learning Arrays Seth Bridges , Miguel Figueroa , David Hsu , Chris Diorio [ps][pdf] Data-Dependent Bounds for Bayesian Mixture Methods Ron Meir , Tong Zhang [ps][pdf] A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages Dorthe Malzahn, Manfred Opper [ps][pdf] Maximum Likelihood and the Information Bottleneck Noam Slonim , Yair Weiss [ps][pdf] Stable Fixed Points of Loopy Belief Propagation Are Local Minima of the Bethe Free Energy Tom Heskes [ps][pdf] Concentration Inequalities for the Missing Mass and for Histogram Rule Error David McAllester , Luis Ortiz [ps][pdf] Dyadic Classification Trees via Structural Risk Minimization Clayton Scott , Robert Nowak [ps][pdf] The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum John Shawe-Taylor , Christopher Williams [ps][pdf] Information Diffusion Kernels John Lafferty , Guy Lebanon [ps][pdf] Scaling of Probability-Based Optimization Algorithms J. L. Shapiro [ps][pdf] The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities Sumio Watanabe , Shun-ichi Amari [ps][pdf] On the Complexity of Learning the Kernel Matrix Daniel J. L. Herrmann , Olivier Bousquet [ps][pdf] Rate Distortion Function in the Spin Glass State: A Toy Model Tatsuto Murayama , Masato Okada [ps][pdf] Conditional Models on the Ranking Poset Guy Lebanon , John Lafferty [ps][pdf] PAC-Bayes and Margins John Langford , John Shawe-Taylor [ps][pdf] A Note on the Representational Incompatibility of Function Approximation and Factored Dynamics Eric Allender , Sanjeev Arora , Michael Kearns , Cristopher Moore , Alexander Russell Fractional Belief Propagation Wim Wiegerinck , Tom Heskes [ps][pdf] An Impossibility Theorem for Clustering Jon Kleinberg [ps][pdf] Effective Dimension and Generalization of Kernel Learning Tong Zhang [ps][pdf] Margin Analysis of the LVQ Algorithm Koby Crammer , Ran Gilad-Bachrach , Amir Navot , Naftali Tishby [ps][pdf] Margin-Based Algorithms for Information Filtering Nicolo Cesa-Bianchi , Alex Conconi , Claudio Gentile [ps][pdf] Superkernels Cheng Soon Ong , Alexander Smola , Robert Williamson [ps][pdf] Binary Coding in Auditory Cortex Michael R. DeWeese , Anthony M. Zador [ps][pdf] How Linear Are Auditory Cortical Responses? Maneesh Sahani , Jennifer Linden [ps][pdf] Neural Decoding of Cursor Motion Using a Kalman Filter Wei Wu , Michael Black , Yun Gao , Elie Bienenstock , Mijail Serruya , Ammar Shaikhouni , John P. Donoghue [ps][pdf] Spikernels: Embedding Spiking Neurons in Inner-Product Spaces Lavi Shpigelman , Yoram Singer , Rony Paz , Eilon Vaadia [ps][pdf] Spectro-Temporal Receptive Fields of Subthreshold Responses in Auditory Cortex Christian Machens , Michael Wehr , Anthony Zador [ps][pdf] Temporal Coherence, Natural Image Sequences, and the Visual Cortex Jarmo Hurri , Aapo Hyvarinen [ps][pdf] Learning in Spiking Neural Assemblies David barber [ps][pdf] Expected and Unexpected Uncertainty: ACh and NE in the Neocortex Angela Yu , Peter Dayan [ps][pdf] Dopamine Induced Bistability Enhances Signal Processing in Spiny Neurons Aaron J. Gruber , Sara A. Solla , James C. Houk [ps][pdf] Convergence Properties of Three Spike-Triggered Analysis Techniques Liam Paninski [ps][pdf] Branching Law for Axons Dmitri B. Chklovskii , Armen Stepanyants [ps][pdf] Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution Matthias Bethge , David Rotermund , Klaus Pawelzik [ps][pdf] An Information Theoretic Approach to the Functional Classification of Neurons Elad Schneidman , William Bialek , Michael J. Berry II [ps][pdf] Factorial Color Coding in Primary Visual Cortex Javier Movellan , Thomas Wachtler , Thomas D. Albright , Terrence Sejnowski [ps][pdf] A Model for Real-Time Computation in Generic Neural Microcircuits Wolfgang Maass , Thomas N [ps][pdf] Adaptation and Unsupervised Learning Peter Dayan , Maneesh Sahani , Gregoire Deback [ps][pdf] A Digital Antennal Lobe for Pattern Equalization: Analysis and Design Pietro Perona , Alex Holub , Gilles Laurent [ps][pdf] Hidden Markov Model of Cortical Synaptic Plasticity: Derivation of the Learning Rule Michael Eisele , Kenneth Miller [ps][pdf] Input Selectivity of Spiking Neurons: Metaplasticity in a Unified Calcium-Dependent Learning Model Luk-Chong Yeung , Leon Cooper , Harel Shouval [ps][pdf] Kernel-Based Extraction of Slow Features: Complex Cells Learn Disparity and Translation Invariance from Natural Images Alistair Bray , Dominique Martinez [ps][pdf] Maximally Informative Dimensions: Analyzing Neural Responses to Natural Signals Tatyana Sharpee , Nicole Rust , William Bialek [ps][pdf] Dynamical Constraints on Computing with Spike Timing in the Cortex Arunava Banerjee , Alexandre Pouget [ps][pdf] Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior Patrik Hoyer , Aapo Hyvarinen [ps][pdf] A Neural Edge-Detection Model for Enhanced Auditory Sensitivity in Modulated Noise Alon Fishbach , Bradford J. May [ps][pdf] An Estimation-Theoretic Framework for the Presentation of Multiple Stimuli Christian W. Eurich [ps][pdf] Evidence Optimization Techniques for Estimating Stimulus-Response Functions Maneesh Sahani , Jennifer Linden [ps][pdf] Reconstructing Stimulus-Driven Neural Networks from Spike Times Duane Nykamp [ps][pdf] Forward-Decoding Kernel-Based Phone Recognition Shantanu Chakrabartty , Gert Cauwenberghs [ps][pdf] A Probabilistic Approach to Single Channel Blind Signal Separation Gil-Jin Jang , Te-Won Lee [ps][pdf] Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch Lawrence Saul , Daniel Lee , Charles L. Isbell , Yann LeCun [ps][pdf] Analysis of Information in Speech Based on MANOVA Sachin S. Kajarekar , Hynek Hermansky [ps][pdf] Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement Patrick J. Wolfe , Simon J. Godsill [ps][pdf] Source Separation with a Microphone Array using Graphical Models and Subband Filtering Hagai Attias [ps][pdf] An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition Samy Bengio [ps][pdf] Monaural Speech Separation Guoning Hu , DeLiang Wang [ps][pdf] Discriminative Binaural Sound Localization Ehud Ben-Reuven , Yoram Singer [ps][pdf] Application of the Variational Bayesian Approach to Speech Recognition Shinji Watanabe , Yasuhiro Minami , Atsushi Nakamura , Naonori Ueda [ps][pdf] Learning to perceive transparency from the statistics of natural scenes Anat Levin , Assaf Zomet , Yair Weiss [ps][pdf] Learning to Detect Natural Image Boundaries Using Brightness and Texture David Martin , Charles Fowlkes , Jitendra Malik [ps][pdf] Fast Transformation-Invariant Component Analysis Anitha Kannan , Nebojsa Jojic , Brendan Frey [ps][pdf] An Approach to Automatic Analysis of Spontaneous Facial Expression Marian Stewart Bartlett , Gwen Littlewort , Bjorn Braathen , Terrence Sejnowski , Javier Movellan [ps][pdf] Bayesian Image Super-Resolution Michael Tipping , Christopher Bishop [ps][pdf] A Bilinear Model for Sparse Coding David Grimes , Rajesh Rao [ps][pdf] Dynamic Structure Super-Resolution Amos Storkey [ps][pdf] Unsupervised Color Constancy Kinh Tieu , Erik G. Miller [ps][pdf] Recovering Articulated Model Topology from Observed Rigid Motion Leonid Taycher , John W. Fisher III , Trevor Darrell [ps][pdf] Linear Combinations of Optic Flow Vectors for Estimating Self-Motion - a Real-World Test of a Neural Model Matthias Franz , Javaan Chahl [ps][pdf] Learning Sparse Multiscale Image Representations Phil Sallee , Bruno Olshausen [ps][pdf] Shape Recipes: Scene Representations that Refer to the Image William Freeman , Antonio Torralba [ps][pdf] Recovering Intrinsic Images from a Single Image Marshall Tappen , Edward Adelson , William Freeman [ps][pdf] Feature Selection by Maximum Marginal Diversity Nuno Vasconcelos [ps][pdf] Learning Sparse Topographic Representations with Products of Student-t Distributions Max Welling , Simon Osindero , Geoffrey E. Hinton [ps][pdf] A Hierarchical Probabilistic Model for Learning Higher-Order Studies in Images Yan Karklin , Michael S. Lewicki [ps][pdf] How to Combine Color and Shape Information for 3D Object Recognition: Kernels Do the Trick Barbara Caputo , Gy Dorko [ps][pdf] Object Segmentation by Graph Partitioning Stella Yu , Ralph Gross , Jianbo Shi [ps][pdf] Learning About Multiple Objects in Images: Factorial Learning without Factorial Search Christopher Williams , Michalis K. Titsias [ps][pdf] |