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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
STDP enables spiking neurons to detect hidden causes of their inputs
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Fast, smooth and adaptive regression in metric spaces
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adapting to the Shifting Intent of Search Queries
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient and Accurate Lp-Norm Multiple Kernel Learning
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning in Markov Random Fields using Tempered Transitions
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Maximum likelihood trajectories for continuous-time Markov chains
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear Learning using Local Coordinate Coding
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adaptive Design Optimization in Experiments with People
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonparametric Greedy Algorithms for the Sparse Learning Problem
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Bayesian Sparse Factor Models and DAGs Inference and Comparison
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
The Infinite Partially Observable Markov Decision Process
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linear-time Algorithms for Pairwise Statistical Problems
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linearly constrained Bayesian matrix factorization for blind source separation
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Additive Latent Feature Model for Transparent Object Recognition
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-Supervised Learning in Gigantic Image Collections
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speaker Comparison with Inner Product Discriminant Functions
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Gaussian Tree Approximation for Integer Least-Squares
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Regularized Distance Metric Learning:Theory and Algorithm
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Conditional Random Fields with High-Order Features for Sequence Labeling
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Sensitivity analysis in HMMs with application to likelihood maximization
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Data-driven calibration of linear estimators with minimal penalties
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A joint maximum-entropy model for binary neural population patterns and continuous signals
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Robust Value Function Approximation Using Bilinear Programming
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
No evidence for active sparsification in the visual cortex
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Locality-sensitive binary codes from shift-invariant kernels
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A General Projection Property for Distribution Families
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Efficient Interior-Point Method for Minimum-Regret Learning in Online Convex Optimization
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Filtering Abstract Senses From Image Search Results
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Unsupervised feature learning for audio classification using convolutional deep belief networks
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear directed acyclic structure learning with weakly additive noise models
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
On the Convergence of the Concave-Convex Procedure
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Kernels and learning curves for Gaussian process regression on random graphs
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Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
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