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Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Ordinal Regression by Extended Binary Classification
Ling Li · Hsuan-Tien Lin
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Graph-Based Visual Saliency
Jonathan Harel · Christof Koch · Pietro Perona
Poster
Wed Dec 06 07:30 PM (PST)
Clustering appearance and shape by learning jigsaws
Anitha Kannan · John Winn · Carsten Rother
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian · Benjamin Wellington · Dan Melamed
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Natural Actor-Critic for Road Traffic Optimisation
Silvia Richter · Douglas Aberdeen · Jin Yu
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Single Channel Speech Separation Using Layered Hidden Markov Models
John R Hershey · Trausti Kristjansson · Steven J Rennie · Peder A Olsen
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Distributed PCA and Network Anomaly Detection
Ling Huang · XuanLong Nguyen · Minos Garofalakis · Michael Jordan · Anthony D Joseph · Nina Taft
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing
Long Zhu · Yuanhao Chen · Alan Yuille
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Fast Computation of Graph Kernels
Vishwanathan S V N · Karsten Borgwardt · Nic Schraudolph
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Nonlinear physically-based models for decoding motor-cortical population activity
Gregory Shakhnarovich · Sung-Phil Kim · Michael J Black
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'Aurelio Ranzato · Christopher Poultney · Sumit Chopra · Yann LeCun
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Structure Learning in Markov Random Fields
Sridevi Parise · Max Welling
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Kernels on Structured Objects Through Nested Histograms
Marco Cuturi · Kenji Fukumizu
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
A Theory of Retinal Population Coding
Eizaburo Doi · Michael S Lewicki
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Clustering Under Prior Knowledge with Application to Image Segmentation
Mario T Figueiredo · Dong Seon Cheng · Vittorio Murino
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods
Matthias Seeger
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Game Theoretic Algorithms for Protein-DNA binding
Luis Perez-Breva · Luis E Ortiz · Chen-Hsiang Yeang · Tommi Jaakkola
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Sparse Representation for Signal Classification
Ke Huang · Selin Aviyente
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Approximate inference using planar graph decomposition
Amir Globerson · Tommi Jaakkola
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization
David P Wipf · Rey R Ramirez · Jason A Palmer · Scott Makeig · Bhaskar Rao
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca · Giacomo Indiveri · Rodney J Douglas
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Relational Learning with Gaussian Processes
Wei Chu · Vikas Sindhwani · Zoubin Ghahramani · Sathiya Selvaraj Keerthi
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds
Benjamin Rubinstein · Peter Bartlett · J. Hyam Rubinstein
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation
Jason M Samonds · Brian Potetz · Tai Sing Lee
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
Chi-Hoon Lee · Shaojun Wang · Feng Jiao · Dale Schuurmans · Russell Greiner
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Online Classification for Complex Problems Using Simultaneous Projections
Yonatan Amit · Shai Shalev-Shwartz · Yoram Singer
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Towards a general independent subspace analysis
Fabian J Theis
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype
Tobias Sing · Niko Beerenwinkel
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Learnability and the doubling dimension
Yi Li · Phil Long
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
Jennifer Listgarten · Radford M Neal · Sam T Roweis · Rachel Puckrin · Sean Cutler
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Towards Zero-Training for Brain-Computer Interface Experiments
Matthias Krauledat · Michael Schröder · Benjamin Blankertz · Klaus-Robert Müller
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Speakers optimize information density through syntactic reduction
Roger Levy · T. Florian Jaeger
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
PG-means: learning the number of clusters in data
Yu Feng · Greg Hamerly
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Manifold Denoising
Matthias Hein · Markus M Maier
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Particle Filtering for Nonparametric Bayesian Matrix Factorization
Frank Wood · Tom Griffiths
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Temporal dynamics of information content carried by neurons in the primary visual cortex
Danko Nikolic · Stefan Haeusler · Wolf Singer · Wolfgang Maass
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Bayesian Image Super-resolution, Continued
Lyndsey C Pickup · David Capel · Stephen J Roberts · Andrew Zisserman
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Bayesian Ensemble Learning
Hugh Chipman · Edward George · Robert McCulloch
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
A PAC-Bayes Risk Bound for General Loss Functions
Pascal Germain · Alexandre Lacasse · Francois Laviolette · Mario Marchand
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Subordinate class recognition using relational object models
Aharon Bar Hillel · Daphna Weinshall
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Approximate Correspondences in High Dimensions
Kristen Grauman · Trevor Darrell
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Blind source separation for over-determined delayed mixtures
Lars Omlor · Martin Giese
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Large-Scale Sparsified Manifold Regularization
Ivor W Tsang · James T Kwok
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Multi-Instance Multi-Label Learning with Application to Scene Classification
Zhi-Hua Zhou · Min-Ling Zhang
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
A Local Learning Approach for Clustering
Mingrui Wu · Bernhard Schölkopf
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Nonnegative Sparse PCA
Ron Zass · Amnon Shashua
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning
Peter Auer · Ronald Ortner
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Logistic Regression for Single Trial EEG Classification
Ryota Tomioka · Kazuyuki Aihara · Klaus-Robert Müller
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Emergence of conjunctive visual features by quadratic independent component analysis
J.T. Lindgren · Aapo Hyvärinen
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Learning Structural Equation Models for fMRI
Amos Storkey · Enrico Simonotto · Heather Whalley · Stephen Lawrie · Lawrence Murray · David McGonigle
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Active learning for misspecified generalized linear models
Francis Bach
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Learning Dense 3D Correspondence
Florian Steinke · Bernhard Schölkopf · Volker Blanz
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model
Chaitanya Chemudugunta · Padhraic Smyth · Mark Steyvers
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Analysis of Contour Motions
Ce Liu · William Freeman · Edward Adelson
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task
Alexis Battle · Gal Chechik · Daphne Koller
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Real-time adaptive information-theoretic optimization of neurophysiological experiments
Jeremy Lewi · Robert Butera · Liam M Paninski
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Uncertainty, phase and oscillatory hippocampal recall
Mate Lengyel · Peter Dayan
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Data Integration for Classification Problems Employing Gaussian Process Priors
Mark A Girolami · Mingjun Zhong
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments
Michael Mandel · Daniel P Ellis · Tony Jebara
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
A Humanlike Predictor of Facial Attractiveness
Amit Kagian · Gideon Dror · Tommer Leyvand · Daniel Cohen-Or · Eytan Ruppin
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces
Moritz Grosse-Wentrup · Klaus Gramann · Martin Buss
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
An Oracle Inequality for Clipped Regularized Risk Minimizers
Ingo Steinwart · Don Hush · Clint Scovel
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
Christian Walder · Bernhard Schölkopf · Olivier Chapelle
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical
David Barber · Bertrand Mesot
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Large Scale Hidden Semi-Markov SVMs
Gunnar Rätsch · Soeren Sonnenburg
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
Xinhua Zhang · Wee Sun Lee
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures
Siwei Lyu · Eero Simoncelli
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Large Margin Gaussian Mixture Models for Automatic Speech Recognition
Fei Sha · Lawrence Saul
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space
KyungAh Sohn · Eric Xing
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
A recipe for optimizing a time-histogram
Hideaki Shimazaki · Shigeru Shinomoto
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Modelling transcriptional regulation using Gaussian Processes
Neil D Lawrence · Guido Sanguinetti · Magnus Rattray
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches
Le Lu · Gregory D Hager
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Max-margin classification of incomplete data
Gal Chechik · Geremy Heitz · Gal Elidan · Pieter Abbeel · Daphne Koller
Poster
Wed Dec 06 07:30 PM -- 12:00 AM (PST)
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
Gediminas Luksys · Jeremie Knuesel · Denis Sheynikhovich · Carmen Sandi · Wulfram Gerstner