Papers
173,579 papers found
Sparse Uncorrelated Linear Discriminant Analysis
Xiaowei Zhang, Delin Chu
Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person
Meng Yang, Luc Van Gool, Lei Zhang
Sparsity-Based Generalization Bounds for Predictive Sparse Coding
Nishant Mehta, Alexander Gray
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression
Sébastien Gerchinovitz
Spatial Inference Machines
Roman Shapovalov, Dmitry Vetrov, Pushmeet Kohli
Spatiotemporal Deformable Part Models for Action Detection
Yicong Tian, Rahul Sukthankar, Mubarak Shah
Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen, Yuejie Chi
Spectral Experts for Estimating Mixtures of Linear Regressions
Arun Tejasvi Chaganty, Percy Liang
Spectral Learning of Hidden Markov Models from Dynamic and Static Data
Tzu-Kuo Huang, Jeff Schneider
Spectral methods for neural characterization using generalized quadratic models
ll Memming Park, Evan W Archer, Nicholas Priebe et al.
Spectral Modeling and Relighting of Reflective-Fluorescent Scenes
Antony Lam, Imari Sato
Specular Reflection Separation Using Dark Channel Prior
Hyeongwoo Kim, Hailin Jin, Sunil Hadap et al.
Speeding up Permutation Testing in Neuroimaging
Chris Hinrichs, Vamsi K Ithapu, Qinyuan Sun et al.
Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
Miao Xu, Rong Jin, Zhi-Hua Zhou
Spike train entropy-rate estimation using hierarchical Dirichlet process priors
Karin C Knudson, Jonathan W Pillow
Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing
Amir Sadovnik, Andrew Gallagher, Devi Parikh et al.
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
Gang Niu, Wittawat Jitkrittum, Bo Dai et al.
Stability and Hypothesis Transfer Learning
Ilja Kuzborskij, Francesco Orabona
Stability of Multi-Task Kernel Regression Algorithms
Julien Audiffren, Hachem Kadri
Stable Coactive Learning via Perturbation
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy et al.
Stable Hyper-pooling and Query Expansion for Event Detection
Matthijs Douze, Jerome Revaud, Cordelia Schmid et al.
Stacked Predictive Sparse Coding for Classification of Distinct Regions in Tumor Histopathology
Hang Chang, Yin Zhou, Paul Spellman et al.
STAR3D: Simultaneous Tracking and Reconstruction of 3D Objects Using RGB-D Data
Carl Yuheng Ren, Victor Prisacariu, David Murray et al.
Stationary-Sparse Causality Network Learning
Yuejia He, Yiyuan She, Dapeng Wu