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Optimization

14,207 papers

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Papers

Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming CVPR 2016
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization CVPR 2016
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016
Learning Deep Representation for Imbalanced Classification CVPR 2016
Random Features for Sparse Signal Classification CVPR 2016
Accelerated Generative Models for 3D Point Cloud Data CVPR 2016
Fits Like a Glove: Rapid and Reliable Hand Shape Personalization CVPR 2016
Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016
GOGMA: Globally-Optimal Gaussian Mixture Alignment CVPR 2016
Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow CVPR 2016
Unconstrained Salient Object Detection via Proposal Subset Optimization CVPR 2016
Relaxation-Based Preprocessing Techniques for Markov Random Field Inference CVPR 2016
Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016
Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016
TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016
Globally Optimal Rigid Intensity Based Registration: A Fast Fourier Domain Approach CVPR 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity CVPR 2016
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues ICML 2016
Data-driven Rank Breaking for Efficient Rank Aggregation ICML 2016
Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016
Minimum Regret Search for Single- and Multi-Task Optimization ICML 2016
Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity ICML 2016
Convergence of Stochastic Gradient Descent for PCA ICML 2016
Low-Rank Matrix Approximation with Stability ICML 2016
Linking losses for density ratio and class-probability estimation ICML 2016