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 Tue Dec 04, 2012

Time Harrah’s Special Events Center 2nd Floor
07:00 PM (Posters)
LUCID: Locally Uniform Comparison Image Descriptor Harrah’s Special Events Center 2nd Floor #None
Approximating Concavely Parameterized Optimization Problems Harrah’s Special Events Center 2nd Floor #None
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models Harrah’s Special Events Center 2nd Floor #None
Bayesian Hierarchical Reinforcement Learning Harrah’s Special Events Center 2nd Floor #None
A Generative Model for Parts-based Object Segmentation Harrah’s Special Events Center 2nd Floor #None
Deep Representations and Codes for Image Auto-Annotation Harrah’s Special Events Center 2nd Floor #None
Learning Probability Measures with respect to Optimal Transport Metrics Harrah’s Special Events Center 2nd Floor #None
Modeling the Forgetting Process using Image Regions Harrah’s Special Events Center 2nd Floor #None
TCA: High Dimensional Principal Component Analysis for non-Gaussian Data Harrah’s Special Events Center 2nd Floor #None
Stochastic Gradient Descent with Only One Projection Harrah’s Special Events Center 2nd Floor #None
Multi-Task Averaging Harrah’s Special Events Center 2nd Floor #None
Discriminatively Trained Sparse Code Gradients for Contour Detection Harrah’s Special Events Center 2nd Floor #None
Analyzing 3D Objects in Cluttered Images Harrah’s Special Events Center 2nd Floor #None
Convex Multi-view Subspace Learning Harrah’s Special Events Center 2nd Floor #None
High Dimensional Semiparametric Scale-invariant Principal Component Analysis Harrah’s Special Events Center 2nd Floor #None
Learning about Canonical Views from Internet Image Collections Harrah’s Special Events Center 2nd Floor #None
Localizing 3D cuboids in single-view images Harrah’s Special Events Center 2nd Floor #None
Learning to Align from Scratch Harrah’s Special Events Center 2nd Floor #None
High Dimensional Transelliptical Graphical Models Harrah’s Special Events Center 2nd Floor #None
Kernel Latent SVM for Visual Recognition Harrah’s Special Events Center 2nd Floor #None
Multi-criteria Anomaly Detection using Pareto Depth Analysis Harrah’s Special Events Center 2nd Floor #None
Calibrated Elastic Regularization in Matrix Completion Harrah’s Special Events Center 2nd Floor #None
Timely Object Recognition Harrah’s Special Events Center 2nd Floor #None
Emergence of Object-Selective Features in Unsupervised Feature Learning Harrah’s Special Events Center 2nd Floor #None
Matrix reconstruction with the local max norm Harrah’s Special Events Center 2nd Floor #None
Scaled Gradients on Grassmann Manifolds for Matrix Completion Harrah’s Special Events Center 2nd Floor #None
Minimization of Continuous Bethe Approximations: A Positive Variation Harrah’s Special Events Center 2nd Floor #None
Expectation Propagation in Gaussian Process Dynamical Systems Harrah’s Special Events Center 2nd Floor #None
Active Comparison of Prediction Models Harrah’s Special Events Center 2nd Floor #None
Semi-Supervised Domain Adaptation with Non-Parametric Copulas Harrah’s Special Events Center 2nd Floor #None
Active Learning of Multi-Index Function Models Harrah’s Special Events Center 2nd Floor #None
Interpreting prediction markets: a stochastic approach Harrah’s Special Events Center 2nd Floor #None
Random function priors for exchangeable graphs and arrays Harrah’s Special Events Center 2nd Floor #None
A Polylog Pivot Steps Simplex Algorithm for Classification Harrah’s Special Events Center 2nd Floor #None
Graphical Gaussian Vector for Image Categorization Harrah’s Special Events Center 2nd Floor #None
Semantic Kernel Forests from Multiple Taxonomies Harrah’s Special Events Center 2nd Floor #None
On Lifting the Gibbs Sampling Algorithm Harrah’s Special Events Center 2nd Floor #None
Repulsive Mixtures Harrah’s Special Events Center 2nd Floor #None
Fully Bayesian inference for neural models with negative-binomial spiking Harrah’s Special Events Center 2nd Floor #None
Slice Normalized Dynamic Markov Logic Networks Harrah’s Special Events Center 2nd Floor #None
Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification Harrah’s Special Events Center 2nd Floor #None
The Perturbed Variation Harrah’s Special Events Center 2nd Floor #None
Risk-Aversion in Multi-armed Bandits Harrah’s Special Events Center 2nd Floor #None
From Deformations to Parts: Motion-based Segmentation of 3D Objects Harrah’s Special Events Center 2nd Floor #None
Active Learning of Model Evidence Using Bayesian Quadrature Harrah’s Special Events Center 2nd Floor #None
A Geometric take on Metric Learning Harrah’s Special Events Center 2nd Floor #None
Accelerated Training for Matrix-norm Regularization: A Boosting Approach Harrah’s Special Events Center 2nd Floor #None
Volume Regularization for Binary Classification Harrah’s Special Events Center 2nd Floor #None
Multimodal Learning with Deep Boltzmann Machines Harrah’s Special Events Center 2nd Floor #None
Online Sum-Product Computation Harrah’s Special Events Center 2nd Floor #None
Fast Resampling Weighted v-Statistics Harrah’s Special Events Center 2nd Floor #None
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression Harrah’s Special Events Center 2nd Floor #None
Learning with Target Prior Harrah’s Special Events Center 2nd Floor #None
A Better Way to Pre-Train Deep Boltzmann Machines Harrah’s Special Events Center 2nd Floor #None
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs Harrah’s Special Events Center 2nd Floor #None
Semi-supervised Eigenvectors for Locally-biased Learning Harrah’s Special Events Center 2nd Floor #None
Fast Variational Inference in the Conjugate Exponential Family Harrah’s Special Events Center 2nd Floor #None
Perfect Dimensionality Recovery by Variational Bayesian PCA Harrah’s Special Events Center 2nd Floor #None
Optimal Regularized Dual Averaging Methods for Stochastic Optimization Harrah’s Special Events Center 2nd Floor #None
Multiplicative Forests for Continuous-Time Processes Harrah’s Special Events Center 2nd Floor #None
Density Propagation and Improved Bounds on the Partition Function Harrah’s Special Events Center 2nd Floor #None
Putting Bayes to sleep Harrah’s Special Events Center 2nd Floor #None
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover Harrah’s Special Events Center 2nd Floor #None
Minimizing Uncertainty in Pipelines Harrah’s Special Events Center 2nd Floor #None
Learning with Partially Absorbing Random Walks Harrah’s Special Events Center 2nd Floor #None
Unsupervised template learning for fine-grained object recognition Harrah’s Special Events Center 2nd Floor #None
Entangled Monte Carlo Harrah’s Special Events Center 2nd Floor #None
Continuous Relaxations for Discrete Hamiltonian Monte Carlo Harrah’s Special Events Center 2nd Floor #None
Hierarchical Optimistic Region Selection driven by Curiosity Harrah’s Special Events Center 2nd Floor #None