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NIPS*2003
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| Efficient Multiscale Sampling from Products of Gaussian Mixtures Alexander T. Ihler, Erik B. Sudderth, William T. Freeman, Alan S. Willsky [ps.gz][pdf][bibtex] Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles Mark Girolami, Ata Kaban [ps.gz][pdf][bibtex] Hierarchical Topic Models and the Nested Chinese Restaurant Process David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum [ps.gz][pdf][bibtex] Max-Margin Markov Networks Ben Taskar, Carlos Guestrin, Daphne Koller [ps.gz][pdf][bibtex] Invariant Pattern Recognition by Semidefinite Programming Machines Thore Graepel, Ralf Herbrich [ps.gz][pdf][bibtex] Learning a Distance Metric from Relative Comparison Matthew Schultz, Thorsten Joachims [ps.gz][pdf][bibtex] 1-norm Support Vector Machines Ji Zhu, Saharon Rosset, Trevor Hastie, Rob Tibshirani [ps.gz][pdf][bibtex] Image Reconstruction by Linear Programming Koji Tsuda, Gunnar Ratsch [ps.gz][pdf][bibtex] Disjunctive Programming Boosting Stuart Andrews, Thomas Hofmann [ps.gz][pdf][bibtex] Convex Methods for Transduction Tijl De Bie, Nello Cristianini [ps.gz][pdf][bibtex] Kernel Dimensionality Reduction for Supervised Learning Kenji Fukumizu, Francis R. Bach, Michael I. Jordan [ps.gz][pdf][bibtex] Clustering with the Connectivity Kernel Bernd Fischer, Volker Roth, Joachim M. Buhmann [ps.gz][pdf][bibtex] Efficient and Robust Feature Extraction by Maximum Margin Criterion Haifeng Li, Tao Jiang, Keshu Zhang [ps.gz][pdf][bibtex] Sparse Greedy Minimax Probability Machine Classification Thomas R. Strohmann, Andrei Belitski, Gregory Z. Grudic, Dennis DeCoste [ps.gz][pdf][bibtex] Sequential Bayesian Kernel Regression Jaco Vermaak, Simon J. Godsill, Arnaud Doucet [ps.gz][pdf][bibtex] Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms Claudio Gentile [ps.gz][pdf][bibtex] Dynamical Modeling with Kernels for Nonlinear Time Series Prediction Liva Ralaivola, Florence d'Alche-Buc, [ps.gz][pdf][bibtex] Extreme Components Analysis Max Welling, Felix Agakov, Christopher K. I. Williams [ps.gz][pdf][bibtex] Linear Dependent Dimensionality Reduction Nathan Srebro, Tommi Jaakkola [ps.gz][pdf][bibtex] Locality Preserving Projections Xiaofei He, Partha Niyogi [ps.gz][pdf][bibtex] Optimal Manifold Representation of Data: An Information Theoretic Approach Denis V. Chigirev, William S. Bialek [ps.gz][pdf][bibtex] Ranking on Data Manifolds Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schoelkopf [ps.gz][pdf][bibtex] Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering Yoshua Bengio, Jean-Francois Paiement, Pascal Vincent [ps.gz][pdf][bibtex] Pairwise Clustering and Graphical Models Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss [ps.gz][pdf][bibtex] Tree-structured approximations by expectation propagation Thomas Minka, Yuan Qi [ps.gz][pdf][bibtex] Information Maximization in Noisy Channels : A Variational Approach David Barber, Felix Agakov [ps.gz][pdf][bibtex] Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian Eiji Mizutani, James W. Demmel [ps.gz][pdf][bibtex] Large Scale Online Learning Leon Bottou, Yann LeCun [ps.gz][pdf][bibtex] Online Classification on a Budget Koby Crammer, Jaz Kandola, Yoram Singer [ps.gz][pdf][bibtex] Online Learning with Global Feedback for Phrase Recognition Xavier Carreras, Lluis Marquez [ps.gz][pdf][bibtex] Sparse Representation and Its Applications in Blind Source Separation Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu [ps.gz][pdf][bibtex] Perspectives on Sparse Bayesian Learning David Wipf, Bhaskar Rao [ps.gz][pdf][bibtex] Semi-Supervised Learning with Trees Charles C. Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum [ps.gz][pdf][bibtex] New Algorithms for Efficient High Dimensional Non-parametric Classification Ting Liu, Andrew W. Moore, Alex Gray [ps.gz][pdf][bibtex] Nonstationary Covariance Functions for Gaussian Process Regression Christopher J. Paciorek, Mark J. Schervish [ps.gz][pdf][bibtex] Learning the k in k-means Gregory Hamerly, Charles Elkan [ps.gz][pdf][bibtex] Finding the M Most Probable Configurations using Loopy Belief Propagation Chen Yanover, Yair Weiss [ps.gz][pdf][bibtex] Non-linear CCA and PCA by Alignment of Local Models Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis [ps.gz][pdf][bibtex] Learning Spectral Clustering Francis R. Bach, Michael I. Jordan [ps.gz][pdf][bibtex] AUC Optimization vs. Error Rate Minimization Corinna Cortes, Mehryar Mohri [ps.gz][pdf][bibtex] Learning with Local and Global Consistency Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston, Bernhard Schoelkopf [ps.gz][pdf][bibtex] Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data Neil D. Lawrence [ps.gz][pdf][bibtex] Warped Gaussian Processes Edward Snelson, Carl E. Rasmussen, Zoubin Ghahramani [ps.gz][pdf][bibtex] Can We Learn to Beat the Best Stock Allan Borodin, Ran El-Yaniv, Vincent Gogan [ps.gz][pdf][bibtex] Approximate Expectation Maximization Tom Heskes, Onno Zoeter, Wim Wiegerinck [ps.gz][pdf][bibtex] Linear Response for Approximate Inference Max Welling, Yee Whye Teh [ps.gz][pdf][bibtex] Semidefinite Relaxations for Approximate Inference on Graphs with Cycles Martin J. Wainwright, Michael I. Jordan [ps.gz][pdf][bibtex] Approximability of Probability Distributions Alina Beygelzimer, Irina Rish [ps.gz][pdf][bibtex] Denoising and Untangling Graphs using Degree Priors Quaid Morris, Brendan Frey [ps.gz][pdf][bibtex] On the Concentration of Expectation and Approximate Inference in Layered Networks XuanLong Nguyen, Michael I. Jordan [ps.gz][pdf][bibtex] Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models Radford M. Neal, Matthew J. Beal, Sam T. Roweis [ps.gz][pdf][bibtex] Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis Pedro F. Felzenszwalb, Daniel P. Huttenlocher, Jon Kleinberg [ps.gz][pdf][bibtex] Wormholes Improve Contrastive Divergence Geoffrey Hinton, Max Welling [ps.gz][pdf][bibtex] Sample Propagation Mark A. Paskin [ps.gz][pdf][bibtex] Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data Amos J. Storkey [ps.gz][pdf][bibtex] Laplace Propagation Alex J. Smola, S. V. N. Vishwanathan, Eleazar Eskin [ps.gz][pdf][bibtex] Learning to Find Pre-Images Goekhan H. Bakir, Jason Weston, Bernhard Schoelkopf [ps.gz][pdf][bibtex] Semidefinite Programming by Perceptron Learning Thore Graepel, Ralf Herbrich, Andriy Kharechko, John Shawe-Taylor [ps.gz][pdf][bibtex] Computing Gaussian Mixture Models with EM using Equivalence Constraints Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall [ps.gz][pdf][bibtex] Feature Selection in Clustering Problems Volker Roth, Tilman Lange [ps.gz][pdf][bibtex] An Iterative Improvement Procedure for Hierarchical Clustering David Kauchak, Sanjoy Dasgupta [ps.gz][pdf][bibtex] Identifying Structure across Pre-partitioned Data Zvika Marx, Ido Dagan, Eli Shamir [ps.gz][pdf][bibtex] Log-Linear Models for Label Ranking Ofer Dekel, Christopher D. Manning, Yoram Singer [ps.gz][pdf][bibtex] Minimax Embeddings Matthew Brand [ps.gz][pdf][bibtex] No Unbiased Estimator of the Variance of K-Fold Cross-Validation Yoshua Bengio, Yves Grandvalet [ps.gz][pdf][bibtex] Bias-Corrected Bootstrap and Model Uncertainty Harald Steck, Tommi S. Jaakkola [ps.gz][pdf][bibtex] Probability Estimates for Multi-class Classification by Pairwise Coupling Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng [ps.gz][pdf][bibtex] Necessary Intransitive Likelihood-Ratio Classifiers Gang Ji, Jeff Bilmes [ps.gz][pdf][bibtex] Classification with Hybrid Generative/Discriminative Models Rajat Raina, Yirong Shen, Andrew Y. Ng, Andrew McCallum [ps.gz][pdf][bibtex] A Model for Learning the Semantics of Pictures Victor Lavrenko, Raghavan Manmatha, Jiwoon Jeon [ps.gz][pdf][bibtex] Algorithms for Interdependent Security Games Michael Kearns, Luis E. Ortiz [ps.gz][pdf][bibtex] Fast Embedding of Sparse Similarity Graphs John C. Platt [ps.gz][pdf][bibtex] GPPS: A Gaussian Process Positioning System for Cellular Networks Anton Schwaighofer, Marian Grigoras, V. Tresp, Clemens Hoffmann [ps.gz][pdf][bibtex] An Autonomous Robotic System for Mapping Abandoned Mines David Ferguson, Aaron Morris, Dirk Haehnel, Christopher Baker, Zachary Omohundro, Carlos Reverte, Scott Thayer, Charles Whittaker, William Whittaker, Wolfram Burgard, Sebastian Thrun [ps.gz][pdf][bibtex] Semi-supervised protein classification using cluster kernels Jason Weston, Christina Leslie, Dengyong Zhou, Andre Elisseeff, William S. Noble [ps.gz][pdf][bibtex] Statistical Debugging of Sampled Programs Alice X. Zheng, Michael I. Jordan, Ben Liblit, Alex Aiken [ps.gz][pdf][bibtex] Markov Models for Automated ECG Interval Analysis Nicholas P. Hughes, Lionel Tarassenko, Stephen J. Roberts [ps.gz][pdf][bibtex] Parameterized Novelty Detection for Environmental Sensor Monitoring Cynthia Archer, Todd K. Leen, Antonio Baptista [ps.gz][pdf][bibtex] Modeling User Rating Profiles For Collaborative Filtering Benjamin Marlin [ps.gz][pdf][bibtex] Application of SVMs for Colour Classification and Collision Detection with AIBO Robots Michael J. Quinlan, Stephan K. Chalup, Richard H. Middleton [ps.gz][pdf][bibtex] Kernels for Structured Natural Language Data Jun Suzuki, Yutaka Sasaki, Eisaku Maeda [ps.gz][pdf][bibtex] A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters Daniel B. Neill, Andrew W. Moore [ps.gz][pdf][bibtex] Link Prediction in Relational Data Ben Taskar, Ming-Fai Wong, Pieter Abbeel, Daphne Koller [ps.gz][pdf][bibtex] Unsupervised Color Decomposition of Histologically Stained Tissue Samples Andrew Rabinovich, Sameer Agarwal, Casey A. Laris, Jeffrey H. Price, Serge S. Belongie [ps.gz][pdf][bibtex] ICA-based Clustering of Genes from Microarray Expression Data Su-In Lee, Serafim Batzoglou [ps.gz][pdf][bibtex] Gene Expression Clustering with Functional Mixture Models Darya Chudova, Christopher Hart, Eric Mjolsness, Padhraic Smyth [ps.gz][pdf][bibtex] Reconstructing MEG Sources with Unknown Correlations Maneesh Sahani, Srikantan S. Nagarajan [ps.gz][pdf][bibtex] Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction on Different Time Scales Saori Tanaka, Kenji Doya, Go Okada, Kazutaka Ueda, Yasumasa Okamoto, Shigeto Yamawaki [ps.gz][pdf][bibtex] Training fMRI Classifiers to Detect Cognitive States across Multiple Human Subjects Xuerui Wang, Rebecca Hutchinson, Tom M. Mitchell [ps.gz][pdf][bibtex] Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer [ps.gz][pdf][bibtex] Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interfac Zhou Yu, Steven G. Mason, Gary E. Birch [ps.gz][pdf][bibtex] Increase Information Transfer Rates in BCI by CSP Extension to Multi-class Guido Dornhege, Benjamin Blankertz, Gabriel Curio, Klaus-Robert Muller [ps.gz][pdf][bibtex] Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron Sung C. Jun, Barak A. Pearlmutter [ps.gz][pdf][bibtex] Gaussian Processes in Reinforcement Learning Carl E. Rasmussen, Malte Kuss [ps.gz][pdf][bibtex] Applying Metric-Trees to Belief-Point POMDPs Joelle Pineau, Geoff Gordon, Sebastian Thrun [ps.gz][pdf][bibtex] ARA*: Anytime A* with Provable Bounds on Sub-Optimality Maxim Likhachev, Geoff Gordon, Sebastian Thrun [ps.gz][pdf][bibtex] Approximate Planning in POMDPs with Macro-Actions Georgios Theocharous, Leslie Pack Kaelbling [ps.gz][pdf][bibtex] Envelope-based Planning in Relational MDPs Natalia H. Gardiol, Leslie Pack Kaelbling [ps.gz][pdf][bibtex] An MDP-Based Approach to Online Mechanism Design David C. Parkes, Satinder Singh [ps.gz][pdf][bibtex] Autonomous Helicopter Flight via Reinforcement Learning Andrew Y. Ng, H. Jin Kim, Michael I. Jordan, Shankar Sastry [ps.gz][pdf][bibtex] All Learning is Local: Multi-agent Learning in Global Reward Games Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling [ps.gz][pdf][bibtex] How to Combine Expert (or Novice) Advice when Actions Impact the Environment? Daniela Pucci de Farias, Nimrod Megiddo [ps.gz][pdf][bibtex] Bounded Finite State Controllers Pascal Poupart, Craig Boutilier [ps.gz][pdf][bibtex] Policy Search by Dynamic Programming J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff Schneider [ps.gz][pdf][bibtex] Robust Markov Decision Problems with Uncertain Transition Matrices Arnab Nilim, Laurent El Ghaoui [ps.gz][pdf][bibtex] Approximate Policy Iteration with a Policy Language Bias Alan Fern, SungWook Yoon, Robert Givan [bibtex] A Nonlinear Predictive State Representation Matthew R. Rudary, Satinder Singh [ps.gz][pdf][bibtex] Learning Near-Pareto-Optimal Conventions in Polynomial Time Xiaofeng Wang, Tuomas Sandholm [ps.gz][pdf][bibtex] Extending Q-Learning to General Adaptive Multi-Agent Systems Gerald Tesauro [ps.gz][pdf][bibtex] Auction Mechanism Design for Multi-Robot Coordination Curt Bererton, Geoff Gordon, Sebastian Thrun [ps.gz][pdf][bibtex] Distributed Optimization in Adaptive Networks Ciamac C. Moallemi, Benjamin Van Roy [ps.gz][pdf][bibtex] Linear Program Approximations for Factored Continuous-State Markov Decision Processes Milos Hauskrecht, Branislav Kveton [ps.gz][pdf][bibtex] Insights from Machine Learning Applied to Human Visual Classification Arnulf B. A. Graf, Felix A. Wichmann [ps.gz][pdf][bibtex] Sensory Modality Segregation Virginia R. de Sa [ps.gz][pdf][bibtex] Reasoning about Time and Knowledge in Neural-Symbolic Learning Systems Artur S. d'Avila Garcez, Luis C. Lamb [ps.gz][pdf][bibtex] Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System Marc Toussaint [ps.gz][pdf][bibtex] An MCMC-based Method of Comparing Connectionist Models in Cognitive Science Woojae Kim, Daniel J. Navarro, Mark A. Pitt, In Jae Myung [ps.gz][pdf][bibtex] Perception of the Structure of the Physical World using Unknown Multimodal Sensors and Effectors David Philipona, J. Kevin O'Regan, Jean-Pierre Nadal, Olivier J.-M. D. Coenen [ps.gz][pdf][bibtex] From Algorithmic to Subjective Randomness Thomas L. Griffiths, Joshua B. Tenenbaum [ps.gz][pdf][bibtex] Unsupervised context sensitive language acquisition from a large corpus Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman [ps.gz][pdf][bibtex] A Holistic Approach to Compositional Semantics Yuuya Sugita, Jun Tani [ps.gz][pdf][bibtex] Model Uncertainty in Classical Conditioning Aaron C. Courville, Nathaniel D. Daw, Geoff Gordon, David S. Touretzky [ps.gz][pdf][bibtex] A Low-Power Analog VLSI Visual Collision Detector Reid R. Harrison [ps.gz][pdf][bibtex] A Recurrent Model of Orientation Maps with Simple and Complex Cells Paul Merolla, Kwabena Boahen [ps.gz][pdf][bibtex] A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems Rock Z. Shi, Timothy Horiuchi [ps.gz][pdf][bibtex] Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons Hsin Chen, Patrice Fleury, Alan F. Murray [ps.gz][pdf][bibtex] Training a Quantum Neural Network Bob Ricks, Dan Ventura [ps.gz][pdf][bibtex] Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses Adria Bofill-i-Petit, Alan Murray [ps.gz][pdf][bibtex] A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors Masakazu Yagi, Hideo Yamasaki, Tadashi Shibata [ps.gz][pdf][bibtex] Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control Francesco Tenore, Ralph Etienne-Cummings, M. Anthony Lewis [ps.gz][pdf][bibtex] A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell Eric T. K. Chau, Bertram Shi [ps.gz][pdf][bibtex] Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds Ingo Steinwart [ps.gz][pdf][bibtex] An Infinity-sample Theory for Multi-category Large Margin Classification Tong Zhang [ps.gz][pdf][bibtex] Error Bounds for Transductive Learning via Compression and Clustering Philip Derbeko, Ran El-Yaniv, Ron Meir [ps.gz][pdf][bibtex] Online Learning of Non-stationary Sequences Claire Monteleoni, Tommi Jaakkola [ps.gz][pdf][bibtex] On the Dynamics of Boosting Cynthia Rudin, Ingrid Daubechies, Robert E. Schapire [ps.gz][pdf][bibtex] Boosting versus Covering Kohei Hatano, Manfred K. Warmuth [ps.gz][pdf][bibtex] Near-Minimax Optimal Classification with Dyadic Classification Trees Clayton Scott, Robert Nowak [ps.gz][pdf][bibtex] PAC-Bayesian Generic Chaining Jean-Yves Audibert, Olivier Bousquet [ps.gz][pdf][bibtex] Self-calibrating Probability Forecasting Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov [ps.gz][pdf][bibtex] When Does Non-Negative Matrix Factorization Give a Correct Decomposition Into Parts? David Donoho, Victoria Stodden [ps.gz][pdf][bibtex] Learning Bounds for a Generalized Family of Bayesian Posterior Distributions Tong Zhang [ps.gz][pdf][bibtex] Variational Linear Response Manfred Opper, Ole Winther [ps.gz][pdf][bibtex] Geometric Clustering using the Information Bottleneck Method Susanne Still, William Bialek, Leon Bottou [ps.gz][pdf][bibtex] Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates Peter L. Bartlett, Michael I. Jordan, Jon M. McAuliffe [ps.gz][pdf][bibtex] Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA David C. Hoyle, Magnus Rattray [ps.gz][pdf][bibtex] Approximate Analytical Bootstrap Averages for Support Vector Classifiers Doerthe Malzahn, Manfred Opper [ps.gz][pdf][bibtex] Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks Justin Werfel, Xiaohui Xie, H. Sebastian Seung [ps.gz][pdf][bibtex] Ambiguous Model Learning Made Unambiguous with 1/f Priors Gurinder S. Atwal, William Bialek [ps.gz][pdf][bibtex] Information Bottleneck for Gaussian Variables Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss [ps.gz][pdf][bibtex] Measure Based Regularization Olivier Bousquet, Olivier Chapelle, Matthias Hein [ps.gz][pdf][bibtex] Online Passive-Aggressive Algorithms Koby Crammer, Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer [ps.gz][pdf][bibtex] Margin Maximizing Loss Functions Saharon Rosset, Ji Zhu, Trevor Hastie [ps.gz][pdf][bibtex] The Doubly Balanced Network of Spiking Neurons: a Memory Model with High Capacity Yuval Aviel, David Horn, Moshe Abeles [ps.gz][pdf][bibtex] Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons Thomas Natschlaeger, Wolfgang Maass [ps.gz][pdf][bibtex] The Diffusion-Limited Biochemical Signal-Relay Channel Peter J. Thomas, Donald J. Spencer, Sierra K. Hampton, Peter Park, Joseph P. Zurkus [ps.gz][pdf][bibtex] Dopamine Modulation in a Basal Ganglio-Cortical Network of Working Memory Aaron J. Gruber, Peter Dayan, Boris S. Gutkin, Sara A. Solla [ps.gz][pdf][bibtex] Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in C. elegans Nathan A. Dunn, John S. Conery, Shawn R. Lockery [ps.gz][pdf][bibtex] A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning Maneesh Sahani [ps.gz][pdf][bibtex] Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron? Yoichi Miyawaki, Masato Okada [ps.gz][pdf][bibtex] Plasticity Kernels and Temporal Statistics Peter Dayan, Michael Hausser, Michael London [ps.gz][pdf][bibtex] Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model Jonathan W. Pillow, Liam Paninski, Eero P. Simoncelli [ps.gz][pdf][bibtex] Design of Experiments via Information Theory Liam Paninski [ps.gz][pdf][bibtex] Probabilistic Inference in Human Sensorimotor Learning Konrad P. Koerding, Daniel M. Wolpert [ps.gz][pdf][bibtex] Estimating Internal Variables and Parameters of a Learning Agent by a Particle Filter Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda, Minoru Kimura [ps.gz][pdf][bibtex] Analytical Solution of Spike-Timing Dependent Plasticity based on Synaptic Biophysics Bernd Porr, Ausra Saudargiene, Florentin Woergoetter [ps.gz][pdf][bibtex] A Probabilistic Model of Auditory Space Representation in the Barn Owl Brian J. Fischer, Charles H. Anderson [ps.gz][pdf][bibtex] Decording V1 Neuronal Activity using Particle Filtering with Volterra Kernels Ryan Kelly, Tai S. Lee [ps.gz][pdf][bibtex] Prediction on Spike Data using Kernel Algorithms Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Carl Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schoelkopf [ps.gz][pdf][bibtex] Phonetic Speaker Recognition with Support Vector Machines William M. Campbell, Joseph P. Campbell, Douglas A. Reynolds, Douglas A. Jones, Timothy R. Leek [ps.gz][pdf][bibtex] A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications Pedro J. Moreno, Purdy P. Ho, Nuno Vasconcelos [ps.gz][pdf][bibtex] Probabilistic Inference of Speech Signals from Phaseless Spectrograms Kannan Achan, Sam T. Roweis, Brendan J. Frey [ps.gz][pdf][bibtex] Eigenvoice Speaker Adaptation via Composite Kernel Principal Component Analysis James Kwok, Brian Mak, Simon Ho [ps.gz][pdf][bibtex] Predicting Speech Intelligibility from a Population of Neurons Jeff Bondy, Ian C. Bruce, Suzanna Becker, Simon Haykin [ps.gz][pdf][bibtex] One Microphone Blind Dereverberation based on Quasi-Periodicity of Speech Signals Tomohiro Nakatani, Masato Miyoshi, Keisuke Kinoshita [ps.gz][pdf][bibtex] A classification-based cocktail-party processor Nicoleta Roman, DeLiang Wang, Guy J. Brown [ps.gz][pdf][bibtex] Local Phase Coherence and the Perception of Blur Zhou Wang, Eero P. Simoncelli [ps.gz][pdf][bibtex] Nonlinear processing in LGN neurons Vincent Bonin, Valerio Mante, Matteo Carandini [ps.gz][pdf][bibtex] A Functional Architecture for Motion Pattern Processing in MSTd Scott A. Beardsley, Lucia M. Vaina [ps.gz][pdf][bibtex] Human and Ideal Observers for Detecting Image Curves Alan Yuille, Fang Fang, Paul Schrater, Daniel Kersten [ps.gz][pdf][bibtex] Eye Movements for Reward Maximization Nathan Sprague, Dana Ballard [ps.gz][pdf][bibtex] Eye Micro-movements Improve Stimulus Detection beyond the Nyquist Limit in the Peripheral Retina Matthias H. Hennig, Florentin Woergoetter [ps.gz][pdf][bibtex] Bounded Invariance and the Formation of Place Fields Reto Wyss, Paul F. M. J. Verschure [ps.gz][pdf][bibtex] Discriminating deformable shape classes Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson [ps.gz][pdf][bibtex] Using the Forest to See the Trees: A Graphical Model Relating Features, Objects, and Scenes Kevin Murphy, Antonio Torralba, William T. Freeman [ps.gz][pdf][bibtex] Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence Amit Gruber, Yair Weiss [ps.gz][pdf][bibtex] Mutual Boosting for Contextual Inference Michael Fink, Pietro Perona [ps.gz][pdf][bibtex] Learning a Rare Event Detection Cascade by Direct Feature Selection Jianxin Wu, James M. Rehg, Matthew D. Mullin [ps.gz][pdf][bibtex] Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar, Martial Hebert [ps.gz][pdf][bibtex] Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation Leonid Sigal, Michael Isard, Benjamin H. Sigelman, Michael J. Black [ps.gz][pdf][bibtex] Automatic Annotation of Everyday Movements Deva Ramanan, David A. Forsyth [ps.gz][pdf][bibtex] Learning Non-Rigid 3D Shape from 2D Motion Lorenzo Torresani, Aaron Hertzmann, Christoph Bregler [ps.gz][pdf][bibtex] Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Facial Expression Classification Gwen Littlewort, Marian S. Bartlett, Ian Fasel, Joel Chenu, Takayuki Kanda, Hiroshi Ishiguro, Javier R. Movellan [ps.gz][pdf][bibtex] Salient Boundary Detection using Ratio Contour Song Wang, Toshiro Kubota, Jeffrey M. Siskind [ps.gz][pdf][bibtex] Geometric Analysis of Constrained Curves Anuj Srivastava, Washington Mio, Xiuwen Liu, Eric Klassen [ps.gz][pdf][bibtex] A Sampled Texture Prior for Image Super-Resolution Lyndsey C. Pickup, Stephen J. Roberts, Andrew Zisserman [ps.gz][pdf][bibtex] Bayesian Color Constancy with Non-Gaussian Models Charles Rosenberg, Thomas Minka, Alok Ladsariya [ps.gz][pdf][bibtex] An Improved Scheme for Detection and Labeling in Johansson's Displays Claudio Fanti, Marzia Polito, Pietro Perona [ps.gz][pdf][bibtex] |