Papers
176,624 papers found
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen, Emmanuel Candes
SOM: Semantic Obviousness Metric for Image Quality Assessment
Peng Zhang, Wengang Zhou, Lei Wu et al.
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking
Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim et al.
Space-Time Local Embeddings
Ke Sun, Jun Wang, Alexandros Kalousis et al.
Space-Time Tree Ensemble for Action Recognition
Shugao Ma, Leonid Sigal, Stan Sclaroff
Sparse and Low-Rank Tensor Decomposition
Parikshit Shah, Nikhil Rao, Gongguo Tang
Sparse Composite Quantization
Ting Zhang, Guo-Jun Qi, Jinhui Tang et al.
Sparse Convolutional Neural Networks
Baoyuan Liu, Min Wang, Hassan Foroosh et al.
Sparse Depth Super Resolution
Jiajun Lu, David Forsyth
Sparse Dueling Bandits
Kevin Jamieson, Sumeet Katariya, Atul Deshpande et al.
Sparse Dynamic 3D Reconstruction From Unsynchronized Videos
Enliang Zheng, Dinghuang Ji, Enrique Dunn et al.
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh et al.
Sparse Local Embeddings for Extreme Multi-label Classification
Kush Bhatia, Himanshu Jain, Purushottam Kar et al.
Sparse PCA via Bipartite Matchings
Megasthenis Asteris, Dimitris Papailiopoulos, Anastasios Kyrillidis et al.
Sparse Projections for High-Dimensional Binary Codes
Yan Xia, Kaiming He, Pushmeet Kohli et al.
Sparse Representation Classification With Manifold Constraints Transfer
Baochang Zhang, Alessandro Perina, Vittorio Murino et al.
Sparse Solutions to Nonnegative Linear Systems and Applications
Aditya Bhaskara, Ananda Suresh, Morteza Zadimoghaddam
Sparse Submodular Probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell Poldrack et al.
Sparse Subspace Clustering with Missing Entries
Congyuan Yang, Daniel Robinson, Rene Vidal
Sparse Variational Inference for Generalized GP Models
Rishit Sheth, Yuyang Wang, Roni Khardon
Sparsistency of \ell_1-Regularized M-Estimators
Yen-Huan Li, Jonathan Scarlett, Pradeep Ravikumar et al.
Spatial Semantic Regularisation for Large Scale Object Detection
Damian Mrowca, Marcus Rohrbach, Judy Hoffman et al.
Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman et al.
Spectral Clustering via the Power Method - Provably
Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method
David Anderson, Simon Du, Michael Mahoney et al.