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65 Program Highlights »
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Poster
Mon Dec 4th through Tue the 5th @
Gaussian and Wishart Hyperkernels
Risi Kondor · Tony Jebara
Poster
Mon Dec 4th through Tue the 5th @
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Yee Whye Teh · David Newman · Max Welling
Poster
Mon Dec 4th through Tue the 5th @
A Nonparametric Approach to Bottom-Up Visual Saliency
Wolf Kienzle · Felix A Wichmann · Bernhard Schölkopf · Matthias Franz
Poster
Mon Dec 4th through Tue the 5th @
Chained Boosting
Christian R Shelton · Wesley Huie
Poster
Mon Dec 4th through Tue the 5th @
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K Warmuth · Dima Kuzmin
Poster
Mon Dec 4th through Tue the 5th @
Hierarchical Dirichlet Processes with Random Effects
Seyoung Kim · Padhraic Smyth
Poster
Mon Dec 4th through Tue the 5th @
Isotonic Conditional Random Fields and Local Sentiment Flow
Yi Mao · Guy Lebanon
Poster
Mon Dec 4th through Tue the 5th @
Learning with Hypergraphs: Clustering, Classification, and Embedding
Dengyong Zhou · Jiayuan Huang · Bernhard Schölkopf
Poster
Mon Dec 4th through Tue the 5th @
Multi-dynamic Bayesian Networks
Karim Filali · Jeff A Bilmes
Poster
Mon Dec 4th through Tue the 5th @
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning
Hamed Valizadegan · Rong Jin
Poster
Mon Dec 4th through Tue the 5th @
Detecting Humans via Their Pose
Alessandro Bissacco · Ming-Hsuan Yang · Stefano Soatto
Poster
Mon Dec 4th through Tue the 5th @
Large Margin Component Analysis
Lorenzo Torresani · Kuang-chih Lee
Poster
Mon Dec 4th through Tue the 5th @
Learning to parse images of articulated bodies
Deva Ramanan
Poster
Mon Dec 4th through Tue the 5th @
Inferring Network Structure from Co-Occurrences
Michael Rabbat · Mario T Figueiredo · Rob Nowak
Poster
Mon Dec 4th through Tue the 5th @
Blind Motion Deblurring Using Image Statistics
Anat Levin
Poster
Mon Dec 4th through Tue the 5th @
On Transductive Regression
Corinna Cortes · Mehryar Mohri
Poster
Mon Dec 4th through Tue the 5th @
Parameter Expanded Variational Bayesian Methods
Yuan (Alan) Qi · Tommi Jaakkola
Poster
Mon Dec 4th through Tue the 5th @
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints
Carla P Gomes · Ashish Sabharwal · Bart Selman
Poster
Mon Dec 4th through Tue the 5th @
Graph Regularization for Maximum Variance Unfolding with an Application to Sensor Localization
Kilian Q Weinberger · Fei Sha · Qihui Zhu · Lawrence Saul
Poster
Mon Dec 4th through Tue the 5th @
Non-rigid point set registration: Coherent Point Drift
Andriy Myronenko · Xubo Song
Poster
Mon Dec 4th through Tue the 5th @
Image Retrieval and Classification Using Local Distance Functions
Andrea Frome · Yoram Singer · Jitendra Malik
Poster
Mon Dec 4th through Tue the 5th @
An Information Theoretic Framework for Eukaryotic Gradient Sensing
Joseph Kimmel · Richard Salter · Peter Thomas
Poster
Mon Dec 4th through Tue the 5th @
Recursive Attribute Factoring
David Cohn · Deepak Verma · Karl Pfleger
Poster
Mon Dec 4th through Tue the 5th @
Differential Entropic Clustering of Multivariate Gaussians
Jason V Davis · Inderjit S Dhillon
Poster
Mon Dec 4th through Tue the 5th @
Causal inference in sensorimotor integration
Konrad P Kording · Josh Tenenbaum
Poster
Mon Dec 4th through Tue the 5th @
Theory and Dynamics of Perceptual Bistability
Paul R Schrater · Rashmi Sundareswara
Poster
Mon Dec 4th through Tue the 5th @
Learning to be Bayesian without Supervision
Martin Raphan · Eero P Simoncelli
Poster
Mon Dec 4th through Tue the 5th @
Recursive ICA
Honghao Shan · Lingyun Zhang · Gary W Cottrell
Poster
Mon Dec 4th through Tue the 5th @
Conditional mean field
Peter Carbonetto · Nando de Freitas
Poster
Mon Dec 4th through Tue the 5th @
Attribute-efficient learning of linear threshold functions under unconcentrated distributions
Phil Long · Rocco A Servedio
Poster
Mon Dec 4th through Tue the 5th @
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Ping Li · Kenneth W Church · Trevor Hastie
Poster
Mon Dec 4th through Tue the 5th @
Optimal Change-Detection and Spiking Neurons
Angela J Yu
Poster
Mon Dec 4th through Tue the 5th @
Training Conditional Random Fields for Maximum Parse Accuracy
Samuel Gross · Olga Russakovsky · Chuong B Do · Serafim Batzoglou
Poster
Mon Dec 4th through Tue the 5th @
A Rate-Distortion Approach to Joint Pattern Alignment
Andrea Vedaldi
Poster
Mon Dec 4th through Tue the 5th @
AdaBoost is Consistent
Peter L Bartlett · Mikhail Traskin
Poster
Mon Dec 4th through Tue the 5th @
Stability of $K$-Means Clustering
Sasha Rakhlin · Andrea Caponnetto
Poster
Mon Dec 4th through Tue the 5th @
Estimating Observation Functions in Dynamical Systems Using Unsupervised Regression
ali rahimi · Benjamin Recht
Poster
Mon Dec 4th through Tue the 5th @
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural P
Amit Gore · Shantanu Chakrabartty
Poster
Mon Dec 4th through Tue the 5th @
Gaussian Process Models for Discriminative Link Prediction
Kai Yu · Wei Chu · Shipeng Yu · Volker Tresp · Zhao Xu
Poster
Mon Dec 4th through Tue the 5th @
Multi-Task Feature Learning
Andreas Argyriou · Theos Evgeniou · Massimiliano Pontil
Poster
Mon Dec 4th through Tue the 5th @
Balanced Graph Matching
Timothee Cour · Praveen Srinivasan · Jianbo Shi
Poster
Mon Dec 4th through Tue the 5th @
Learning to Rank with Nonsmooth Cost Functions
Chris J Burges · Quoc Le · Robert J Ragno
Poster
Mon Dec 4th through Tue the 5th @
Attentional Processing on a Spike-Based VLSI Neural Network
Yingxue Wang · Rodney J Douglas · Shih-Chii Liu
Poster
Mon Dec 4th through Tue the 5th @
Automated Hierarchy Discovery for Planning in Partially Observable Domains
Laurent Charlin · Pascal Poupart · Romy Shioda
Poster
Mon Dec 4th through Tue the 5th @
Branch and Bound for Semi-Supervised Support Vector Machines
Olivier Chapelle · Vikas Sindhwani · Sathiya Selvaraj Keerthi
Poster
Mon Dec 4th through Tue the 5th @
Learning to Traverse Image Manifolds
Piotr Dollar · Vincent Rabaud · Serge Belongie
Poster
Mon Dec 4th through Tue the 5th @
iLSTD: Convergence, Eligibility Traces, and Mountain Car
Alborz Geramifard · Michael Bowling · Martin A Zinkevich · Rich S Sutton
Poster
Mon Dec 4th through Tue the 5th @
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
Robert Jenssen · Torbjorn Eltoft · Mark A Girolami · Deniz Erdogmus
Poster
Mon Dec 4th through Tue the 5th @
Efficient Structure Learning of Markov Networks using L1-Regularization
Su-In Lee · Varun Ganapathi · Daphne Koller
Poster
Mon Dec 4th through Tue the 5th @
Learning Nonparametric Models for Probabilistic Imitation
David Grimes · Daniel Rashid · Rajesh P Rao
Poster
Mon Dec 4th through Tue the 5th @
A Small World Threshold for Economic Network Formation
Eyal Even-Dar · Michael Kearns
Poster
Mon Dec 4th through Tue the 5th @
Comparative Gene Prediction using Conditional Random Fields
Jade P Vinson · David DeCaprio · Stacey Luoma · James Galagan
Poster
Mon Dec 4th through Tue the 5th @
Learning on Graph with Laplacian Regularization
Rie Ando · Tong Zhang
Poster
Mon Dec 4th through Tue the 5th @
implicit Online Learning with Kernels
Li Cheng · Vishwanathan S V N · Dale Schuurmans · Shaojun Wang · Terry Caelli
Poster
Mon Dec 4th through Tue the 5th @
Efficient Methods for Privacy Preserving Classification
JOHN HERSHEY · Moshe Butman
Poster
Mon Dec 4th through Tue the 5th @
Linearly-solvable Markov decision problems
Emanuel Todorov
Poster
Mon Dec 4th through Tue the 5th @
Distributed Inference in Dynamical Systems
Stanislav Funiak · Carlos Guestrin · Mark A Paskin · Rahul Sukthankar
Poster
Mon Dec 4th through Tue the 5th @
Efficient sparse coding algorithms, end-stopping and nCRF surround suppression
Honglak Lee · Alexis Battle · Raina Rajat · Andrew Y Ng
Poster
Mon Dec 4th through Tue the 5th @
Similarity by Composition
Oren Boiman · Michal Irani
Poster
Mon Dec 4th through Tue the 5th @
Geometric entropy minimization (GEM) for anomaly detection and localization
Alfred Hero
Poster
Mon Dec 4th through Tue the 5th @
Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General Sum Stochastic Games
Chris D Murray · Geoffrey J Gordon
Poster
Mon Dec 4th through Tue the 5th @
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression for MEG and EEG data
Johanna M Zumer · Hagai Attias · Kensuke Sekihara · Srikantan Nagarajan
Poster
Mon Dec 4th through Tue the 5th @
Convergence of Laplacian Eigenmaps
Mikhail Belkin · Partha Niyogi
Poster
Mon Dec 4th through Tue the 5th @
Context Effects in Category Learning: An Investigation of Four Probabilistic Models
Michael C Mozer · Michael Jones · Michael Shettel
Poster
Mon Dec 4th through Tue the 5th @
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
Daniel Navarro · Thomas Griffiths