Ensemble Learning

Oriented Edge Forests for Boundary Detection CVPR 2015 Scalable Semi-Supervised Aggregation of Classifiers NeurIPS 2015 A Boosting Framework on Grounds of Online Learning NeurIPS 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 Consistency of weighted majority votes NeurIPS 2014 Deep Boosting ICML 2014 Diverse Randomized Agents Vote to Win NeurIPS 2014 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 Efficient Boosted Exemplar-based Face Detection CVPR 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Learning with Pseudo-Ensembles NeurIPS 2014 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Multi-Class Deep Boosting NeurIPS 2014 Multi-Resolution Cascades for Multiclass Object Detection NeurIPS 2014 Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014 Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014 Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013 Decision Jungles: Compact and Rich Models for Classification NeurIPS 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013 Ensemble Learning for Confidence Measures in Stereo Vision CVPR 2013 Fast Object Detection with Entropy-Driven Evaluation CVPR 2013 GeoF: Geodesic Forests for Learning Coupled Predictors CVPR 2013 Human Boosting ICML 2013 Human Pose Estimation Using Body Parts Dependent Joint Regressors CVPR 2013