Papers
173,579 papers found
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
Revisiting the Nystrom method for improved large-scale machine learning
Alex Gittens, Michael Mahoney
Revisiting the PnP Problem: A Fast, General and Optimal Solution
Yinqiang Zheng, Yubin Kuang, Shigeki Sugimoto et al.
Reward Mapping for Transfer in Long-Lived Agents
Xiaoxiao Guo, Satinder Singh, Richard L. Lewis
Riemannian Similarity Learning
Li Cheng
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction
Sébastien Giguère, François Laviolette, Mario Marchand et al.
RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria, Iain Murray, Hugo Larochelle
Robust and Discriminative Self-Taught Learning
Hua Wang, Feiping Nie, Heng Huang
Robust Bloom Filters for Large MultiLabel Classification Tasks
Moustapha M Cisse, Nicolas Usunier, Thierry Artières et al.
Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences
Yannis Panagakis, Mihalis A. Nicolaou, Stefanos Zafeiriou et al.
Robust Data-Driven Dynamic Programming
Grani Adiwena Hanasusanto, Daniel Huhn
Robust Dictionary Learning by Error Source Decomposition
Zhuoyuan Chen, Ying Wu