Artificial Intelligence

Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013 Approximate Representations for Multi-Robot Control Policies that Maximize Mutual Information RSS 2013 A Practical Transfer Learning Algorithm for Face Verification ICCV 2013 A recursive estimate for the predictive likelihood in a topic model AISTATS 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 A Sentence Is Worth a Thousand Pixels CVPR 2013 A simple criterion for controlling selection bias AISTATS 2013 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 A Spectral Learning Approach to Range-Only SLAM ICML 2013 A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching CVPR 2013 A Topological Approach to Using Cables to Separate and Manipulate Sets of Objects RSS 2013 Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop CVPR 2013 Attribute Pivots for Guiding Relevance Feedback in Image Search ICCV 2013 Audio-based Relative Positioning System for Multiple Micro Air Vehicle Systems RSS 2013 Auditing: Active Learning with Outcome-Dependent Query Costs NeurIPS 2013 A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects ICCV 2013 A unifying representation for a class of dependent random measures AISTATS 2013 Automatic Online Calibration of Cameras and Lasers RSS 2013 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 A Variational Approximation for Topic Modeling of Hierarchical Corpora ICML 2013 A Video Representation Using Temporal Superpixels CVPR 2013 A Widely Applicable Bayesian Information Criterion JMLR 2013 Bayesian Canonical Correlation Analysis JMLR 2013 Bayesian Depth-from-Defocus with Shading Constraints CVPR 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013