'Semidefinite programming' diaporamas de présentation

Matrix Extensions to Sparse Recovery

Matrix Extensions to Sparse Recovery. Yi Ma 1,2 Allen Yang 3 John Wright 1. 2 University of Illinois at Urbana-Champaign. 3 University of California Berkeley. 1 Microsoft Research Asia. CVPR Tutorial, June 20, 2009. TexPoint fonts used in EMF.

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Semidefinite Programming

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Visual Tracking Decomposition

Visual Tracking Decomposition. Junseok Kwon* and Kyoung Mu lee C omputer V ision L ab. Dept. of EECS Seoul National University, Korea Homepage: http://cv.snu.ac.kr. Goal of Visual Tracking. Robustly tracks target in real-world scenarios. Frame #60. Frame #1. Real-World Scenarios.

477 views • 31 slides

Haplotype Phasing using Semidefinite Programming

Haplotype Phasing using Semidefinite Programming. Parag Namjoshi CSEE Department University of Maryland Baltimore County. Joint work with Konstantinos Kalpakis. Outline. Biology Review Motivation Previous work Our contribution Experimental results Conclusions. Biology Review.

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Introduction to Approximation Algorithms

Introduction to Approximation Algorithms. Lecture 12: Mar 1. NP-completeness. We have seen many polynomial time solvable optimization problems. e.g. maximum matching, min-cost flow, minimum cut, etc. .

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Optimization in R

Optimization in R. Historically. R had very limited options for optimization There was nls There was optim There was nothing else Both would work, but; Sensitive to starting values Convergence was a hope and a prayer in tricky problems. Now. From CRAN Optimization task view

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IE 635 Combinatorial Optimization

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IE 635 Combinatorial Optimization

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Institute of Biophysics and Biomedical Engineering - Bulgarian Academy of Sciences

Institute of Biophysics and Biomedical Engineering - Bulgarian Academy of Sciences. OLYMPIA ROEVA 105 Acad. George Bonchev Str. 1113 Sofia, Bulgaria olympia@clbme.bas.bg. PARAMETER OPTIMIZATION OF FERMENTATION PROCESSES MODELS. 1. INTRODUCTION

170 views • 1 slides