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Discrete Optimization

705 directly classified papers

Papers per year

Papers

DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013
Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013
k-Prototype Learning for 3D Rigid Structures NIPS 2013
Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization CVPR 2013
Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NIPS 2013
Partial Enumeration and Curvature Regularization ICCV 2013
Lifting 3D Manhattan Lines from a Single Image ICCV 2013
Structured Learning of Sum-of-Submodular Higher Order Energy Functions ICCV 2013
Potts Model, Parametric Maxflow and K-Submodular Functions ICCV 2013
Improving Graph Matching via Density Maximization ICCV 2013
Learning Chordal Markov Networks by Constraint Satisfaction NIPS 2013
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NIPS 2013
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NIPS 2013
Embed and Project: Discrete Sampling with Universal Hashing NIPS 2013
Matrix factorization with binary components NIPS 2013
Fast Energy Minimization Using Learned State Filters CVPR 2013
Submodular Salient Region Detection CVPR 2013
Reconstructing Loopy Curvilinear Structures Using Integer Programming CVPR 2013
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking CVPR 2013
Auxiliary Cuts for General Classes of Higher Order Functionals CVPR 2013
Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow CVPR 2013
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems CVPR 2013
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization ICML 2013
Optimized Pedestrian Detection for Multiple and Occluded People CVPR 2013