Toggle Poster Visibility
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Learning to parse images of articulated bodies
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Optimal Change-Detection and Spiking Neurons
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Efficient Structure Learning of Markov Networks using L1-Regularization
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Distributed Inference in Dynamical Systems
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural P
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Automated Hierarchy Discovery for Planning in Partially Observable Domains
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Training Conditional Random Fields for Maximum Parse Accuracy
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Estimating Observation Functions in Dynamical Systems Using Unsupervised Regression
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Theory and Dynamics of Perceptual Bistability
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Efficient sparse coding algorithms, end-stopping and nCRF surround suppression
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Image Retrieval and Classification Using Local Distance Functions
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
iLSTD: Convergence, Eligibility Traces, and Mountain Car
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
An Information Theoretic Framework for Eukaryotic Gradient Sensing
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Linearly-solvable Markov decision problems
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Hierarchical Dirichlet Processes with Random Effects
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Learning on Graph with Laplacian Regularization
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Graph Regularization for Maximum Variance Unfolding with an Application to Sensor Localization
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Learning with Hypergraphs: Clustering, Classification, and Embedding
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Learning Nonparametric Models for Probabilistic Imitation
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Non-rigid point set registration: Coherent Point Drift
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Learning to Rank with Nonsmooth Cost Functions
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
A Nonparametric Approach to Bottom-Up Visual Saliency
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Learning to be Bayesian without Supervision
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Efficient Methods for Privacy Preserving Classification
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Gaussian Process Models for Discriminative Link Prediction
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Attentional Processing on a Spike-Based VLSI Neural Network
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Isotonic Conditional Random Fields and Local Sentiment Flow
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Branch and Bound for Semi-Supervised Support Vector Machines
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
A Small World Threshold for Economic Network Formation
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Blind Motion Deblurring Using Image Statistics
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
implicit Online Learning with Kernels
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Geometric entropy minimization (GEM) for anomaly detection and localization
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Inferring Network Structure from Co-Occurrences
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
A Rate-Distortion Approach to Joint Pattern Alignment
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression for MEG and EEG data
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Attribute-efficient learning of linear threshold functions under unconcentrated distributions
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Differential Entropic Clustering of Multivariate Gaussians
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General Sum Stochastic Games
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Causal inference in sensorimotor integration
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Parameter Expanded Variational Bayesian Methods
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Comparative Gene Prediction using Conditional Random Fields
Poster
Mon Dec 04 07:30 PM -- 12:00 AM (PST)
Context Effects in Category Learning: An Investigation of Four Probabilistic Models