Papers
173,579 papers found
Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem
Rui Caseiro, Pedro Martins, Joao F. Henriques et al.
Rolling Shutter Camera Calibration
Luc Oth, Paul Furgale, Laurent Kneip et al.
Rolling Shutter Stereo
Olivier Saurer, Kevin Koser, Jean-Yves Bouguet et al.
Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination
Laurent Sifre, Stephane Mallat
Rounding Methods for Discrete Linear Classification
Yann Chevaleyre, Frédéerick Koriche, Jean-daniel Zucker
SADA: A General Framework to Support Robust Causation Discovery
Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
Safe Policy Iteration
Matteo Pirotta, Marcello Restelli, Alessio Pecorino et al.
Safe Screening of Non-Support Vectors in Pathwise SVM Computation
Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi
Saliency Aggregation: A Data-Driven Approach
Long Mai, Yuzhen Niu, Feng Liu
Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics
Nicolas Riche, Matthieu Duvinage, Matei Mancas et al.
Saliency Detection: A Boolean Map Approach
Jianming Zhang, Stan Sclaroff
Saliency Detection in Large Point Sets
Elizabeth Shtrom, George Leifman, Ayellet Tal
Saliency Detection via Absorbing Markov Chain
Bowen Jiang, Lihe Zhang, Huchuan Lu et al.
Saliency Detection via Dense and Sparse Reconstruction
Xiaohui Li, Huchuan Lu, Lihe Zhang et al.
Saliency Detection via Graph-Based Manifold Ranking
Chuan Yang, Lihe Zhang, Huchuan Lu et al.
Salient Object Detection: A Discriminative Regional Feature Integration Approach
Huaizu Jiang, Jingdong Wang, Zejian Yuan et al.
Salient Region Detection by UFO: Uniqueness, Focusness and Objectness
Peng Jiang, Haibin Ling, Jingyi Yu et al.
Sample-Specific Late Fusion for Visual Category Recognition
Dong Liu, Kuan-Ting Lai, Guangnan Ye et al.
Sampling-based Motion Planning for Robotic Information Gathering
Geoffrey Hollinger, Gaurav Sukhatme
Sampling Strategies for Real-Time Action Recognition
Feng Shi, Emil Petriu, Robert Laganiere
Scalable Inference for Logistic-Normal Topic Models
Jianfei Chen, Jun Zhu, Zi Wang et al.
Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez Rodriguez et al.
Scalable kernels for graphs with continuous attributes
Aasa Feragen, Niklas Kasenburg, Jens Petersen et al.
Scalable Optimization of Neighbor Embedding for Visualization
Zhirong Yang, Jaakko Peltonen, Samuel Kaski