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Ensemble Methods

267 papers

Papers per year

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27
36
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Papers

Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014
Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014
One Millisecond Face Alignment with an Ensemble of Regression Trees CVPR 2014
Discriminative Ferns Ensemble for Hand Pose Recognition CVPR 2014
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014
A Bayesian Framework for Online Classifier Ensemble ICML 2014
Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Decision Jungles: Compact and Rich Models for Classification NIPS 2013
Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013
Understanding variable importances in forests of randomized trees NIPS 2013
Alternating Decision Forests CVPR 2013
Saliency Aggregation: A Data-Driven Approach CVPR 2013
Discriminative Subspace Clustering CVPR 2013
Semi-supervised Node Splitting for Random Forest Construction CVPR 2013
Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013
Structured Forests for Fast Edge Detection ICCV 2013
Alternating Regression Forests for Object Detection and Pose Estimation ICCV 2013
Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013
Ranking Forests JMLR 2013
Context-Sensitive Decision Forests for Object Detection NIPS 2012
Multiplicative Forests for Continuous-Time Processes NIPS 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012
Bayesian Classifier Combination AISTATS 2012
Multi-label Subspace Ensemble AISTATS 2012
Active Classification based on Value of Classifier NIPS 2011