Papers
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
Jeffrey Ho, Guang Cheng, Hesamoddin Salehian et al.
Reflection methods for user-friendly submodular optimization
Stefanie Jegelka, Francis Bach, Suvrit Sra
Refractive Structure-from-Motion on Underwater Images
Anne Jordt-Sedlazeck, Reinhard Koch
Regionlets for Generic Object Detection
Xiaoyu Wang, Ming Yang, Shenghuo Zhu et al.
Regression-tree Tuning in a Streaming Setting
Samory Kpotufe, Francesco Orabona
Regret based Robust Solutions for Uncertain Markov Decision Processes
Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak et al.
Regret Minimization for Branching Experts
Eyal Gofer, Nicolò Cesa-Bianchi, Claudio Gentile et al.
Regularization-Free Principal Curve Estimation
Samuel Gerber, Ross Whitaker
Regularization of Neural Networks using DropConnect
Li Wan, Matthew Zeiler, Sixin Zhang et al.
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-Ling Loh, Martin J. Wainwright
Reinforcement Learning in Robust Markov Decision Processes
Shiau Hong Lim, Huan Xu, Shie Mannor
Relative Attributes for Large-Scale Abandoned Object Detection
Quanfu Fan, Prasad Gabbur, Sharath Pankanti
Relative Hidden Markov Models for Evaluating Motion Skill
Qiang Zhang, Baoxin Li
Relative Volume Constraints for Single View 3D Reconstruction
Eno Toppe, Claudia Nieuwenhuis, Daniel Cremers
Relevance Topic Model for Unstructured Social Group Activity Recognition
Fang Zhao, Yongzhen Huang, Liang Wang et al.
Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees
Vitaly Feldman, Pravesh Kothari, Jan Vondrák
Representing and Discovering Adversarial Team Behaviors Using Player Roles
Patrick Lucey, Alina Bialkowski, Peter Carr et al.
Representing Videos Using Mid-level Discriminative Patches
Arpit Jain, Abhinav Gupta, Mikel Rodriguez et al.
Reservoir Boosting : Between Online and Offline Ensemble Learning
Leonidas Lefakis, François Fleuret
Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman, Fei Sha
Restoring an Image Taken through a Window Covered with Dirt or Rain
David Eigen, Dilip Krishnan, Rob Fergus
Restricting exchangeable nonparametric distributions
Sinead A Williamson, Steve N MacEachern, Eric P Xing
Revisiting Depth Layers from Occlusions
Adarsh Kowdle, Andrew Gallagher, Tsuhan Chen
Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees
Oisin Mac Aodha, Gabriel J. Brostow