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Semidefinite programming
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#	Item
171	An Algorithm for the Generalized Quadratic Assignment Problem Peter M. Hahn1 Electrical and Systems Engineering, University of Pennsylvania Philadelphia, PA[removed], USA [removed] Bum-Jin Kim Add to Reading List Source URL: datamininglab.com Language: English Applied mathematics Combinatorial optimization Operations research Convex optimization Semidefinite programming Generalized assignment problem Branch and bound Assignment problem Matrix Mathematical optimization Mathematics Linear programming
172	Universal Duality in Conic Convex Optimization∗ Simon P. Schurr† Andr´e L. Tits‡ Dianne P. O’Leary§ Add to Reading List Source URL: www.ece.umd.edu Language: English - Date: 2005-04-20 11:44:47 Convex optimization Linear programming Convex analysis Operations research Duality Convex cone Semidefinite programming Strong duality Conic optimization Mathematical optimization Mathematics Algebra
173	Fast Maximum Margin Matrix Factorization for Collaborative Prediction Jasson D. M. Rennie JRENNIE @ CSAIL . MIT. EDU Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambrid Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:50 Matrix theory Operations research Numerical linear algebra Operator theory Singular value decomposition Non-negative matrix factorization Semidefinite programming Matrix Trace Algebra Linear algebra Mathematics
174	Pairwise Constraint Propagation by Semidefinite Programming for Semi-Supervised Classification Zhenguo Li [removed] Jianzhuang Liu Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-02 00:22:10 Cluster analysis Semi-supervised learning Pattern recognition Support vector machine Constrained clustering Statistics Machine learning Local consistency
175	Direct Convex Relaxations of Sparse SVM Antoni B. Chan [removed] Nuno Vasconcelos [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:26:14 Mathematical optimization Statistical classification Operations research Model selection Support vector machines Kernel methods Semidefinite programming Quadratically constrained quadratic program Feature selection Statistics Machine learning Mathematics
176	Full Regularization Path for Sparse Principal Component Analysis Alexandre d’Aspremont ORFE, Princeton University, Princeton NJ 08544, USA. [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:18 Matrix theory Singular value decomposition Data analysis Operations research Principal component analysis Semidefinite programming Eigenvalues and eigenvectors Variance Linear programming Algebra Mathematics Linear algebra
177	Footstep Planning on Uneven Terrain with Mixed-Integer Convex Optimization Robin Deits1 and Russ Tedrake2 Abstract— We present a new method for planning footstep placements for a robot walking on uneven terrain with ob Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2014-07-22 11:56:18 Operations research Convex analysis Linear programming Convex optimization Semidefinite programming Convex function Sine Convex hull Quadratically constrained quadratic program Mathematical optimization Mathematics Mathematical analysis
178	Spectral Clustering with Inconsistent Advice Tom Coleman James Saunderson Anthony Wirth The University of Melbourne, Victoria 3010 Australia Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 19:34:06 Cluster analysis Multivariate statistics Linear algebra Matrix theory Data mining Spectral clustering Semidefinite programming K-means clustering Correlation clustering Statistics Mathematics Algebra
179	A Hybrid Algorithm for Convex Semidefinite Optimization S¨ oren Laue Friedrich-Schiller-University Jena, Germany Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:19:44 Operations research Convex optimization Linear programming Convex analysis Semidefinite programming Positive-definite matrix Frank–Wolfe algorithm Nonlinear dimensionality reduction Cholesky decomposition Mathematical optimization Mathematics Algebra
180	Sensor Location through Linear Programming with Triangle Inequality Constraints Camillo Gentile National Institute of Standards and Technology Wireless Communications Technologies Group Email: [removed] Add to Reading List Source URL: w3.antd.nist.gov Language: English - Date: 2009-02-03 16:25:14 Wireless sensor network Applied mathematics Technology Linear programming Sensor node Algorithm Wireless ad-hoc network Mathematical optimization Semidefinite programming Operations research Mathematics Wireless networking

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