Application Areas

Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NeurIPS 2010 Global seismic monitoring as probabilistic inference NeurIPS 2010 Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning NeurIPS 2010 Impossibility Theorems for Domain Adaptation AISTATS 2010 Incremental Sparsification for Real-time Online Model Learning AISTATS 2010 Inductive Regularized Learning of Kernel Functions NeurIPS 2010 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010 Learning Bounds for Importance Weighting NeurIPS 2010 Matrix Completion from Noisy Entries JMLR 2010 Mixture of time-warped trajectory models for movement decoding NeurIPS 2010 MOA: Massive Online Analysis JMLR 2010 Nonparametric prior for adaptive sparsity AISTATS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Random Projections for k-means Clustering NeurIPS 2010 Reverse Multi-Label Learning NeurIPS 2010 Sensor Placement for Improved Robotic Navigation RSS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata NeurIPS 2010 Structured Prediction Cascades AISTATS 2010 The SHOGUN Machine Learning Toolbox JMLR 2010 Throttling Poisson Processes NeurIPS 2010 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010 3D laser scan classification using web data and domain adaptation RSS 2009 Accurate rough terrain estimation with space-carving kernels RSS 2009 A General Projection Property for Distribution Families NeurIPS 2009