Domain Adaptation

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NeurIPS 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 Multi-class Protein Classification Using Adaptive Codes JMLR 2007 Object Recognition by Scene Alignment NeurIPS 2007 Active Learning with Feedback on Features and Instances JMLR 2006 A Gravity Balancing Passive Exoskeleton for the Human Leg RSS 2006 Analysis of Representations for Domain Adaptation NeurIPS 2006 Correcting Sample Selection Bias by Unlabeled Data NeurIPS 2006 Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NeurIPS 2006 Dirichlet-Enhanced Spam Filtering based on Biased Samples NeurIPS 2006 Learning from Multiple Sources NeurIPS 2006 Mixture Regression for Covariate Shift NeurIPS 2006 Outdoor Path Labeling Using Polynomial Mahalanobis Distance RSS 2006 Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006 Spam Filtering Using Statistical Data Compression Models JMLR 2006 Unified Inverse Depth Parametrization for Monocular SLAM RSS 2006 In Defense of One-Vs-All Classification JMLR 2004 Knowledge-Based Kernel Approximation JMLR 2004 A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification JMLR 2003