Papers
176,624 papers found
Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri et al.
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
Yuxin Chen, Changho Suh
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna, Bibaswan K Chatterjee, Raman Sankaran et al.
Spectral Representations for Convolutional Neural Networks
Oren Rippel, Jasper Snoek, Ryan P. Adams
SpeDo: 6 DOF Ego-Motion Sensor Using Speckle Defocus Imaging
Kensei Jo, Mohit Gupta, Shree K. Nayar
Spherical Embedding of Inlier Silhouette Dissimilarities
Etai Littwin, Hadar Averbuch-Elor, Daniel Cohen-Or
Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix Xinnan X Yu, Sanjiv Kumar
SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs
Yu Li, Dongbo Min, Michael S. Brown et al.
Square Localization for Efficient and Accurate Object Detection
Cewu Lu, Yongyi Lu, Hao Chen et al.
State Space Methods for Efficient Inference in Student-t Process Regression
Arno Solin, Simo Särkkä
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti, Michael Mahoney
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling
Xi Chen, Qihang Lin, Dengyong Zhou
Statistical Inference Models for Image Datasets With Systematic Variations
Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung et al.
Statistical Model Criticism using Kernel Two Sample Tests
James R Lloyd, Zoubin Ghahramani
Statistical Topological Data Analysis - A Kernel Perspective
Roland Kwitt, Stefan Huber, Marc Niethammer et al.
Statistical Unfolded Logic Learning
Wang-Zhou Dai, Zhi-Hua Zhou
Stay on path: PCA along graph paths
Megasthenis Asteris, Anastasios Kyrillidis, Alex Dimakis et al.
StereoSnakes: Contour Based Consistent Object Extraction For Stereo Images
Ran Ju, Tongwei Ren, Gangshan Wu
Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery
Peter Chin, Anup Rao, Van Vu
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Dominik Csiba, Zheng Qu, Peter Richtarik
Stochastic Expectation Propagation
Yingzhen Li, José Miguel Hernández-Lobato, Richard E Turner
Stochastic Online Greedy Learning with Semi-bandit Feedbacks
Tian Lin, Jian Li, Wei Chen
Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
Peilin Zhao, Tong Zhang