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NIPS
2004
13 years 8 months ago
A Direct Formulation for Sparse PCA Using Semidefinite Programming
We examine the problem of approximating, in the Frobenius-norm sense, a positive, semidefinite symmetric matrix by a rank-one matrix, with an upper bound on the cardinality of its...
Alexandre d'Aspremont, Laurent El Ghaoui, Michael ...
CORR
2008
Springer
125views Education» more  CORR 2008»
13 years 7 months ago
Semidefinite programming for N-Player Games
Abstract. We introduce two min-max problems: the first problem is to minimize the supremum of finitely many rational functions over a compact basic semi-algebraic set whereas the s...
Rida Laraki, Jean B. Lasserre
IRREGULAR
1997
Springer
13 years 11 months ago
Programming with Shared Data Abstractions
ing with shared data abstractions Simon Dobson1 and Don Goodeve2 1 Well-Founded Systems Unit, CLRC Rutherford Appleton Laboratory, UK 2 School of Computer Studies, University of Le...
Simon A. Dobson, Don Goodeve
ICASSP
2008
IEEE
14 years 1 months ago
Efficient soft demodulation of MIMO QPSK via semidefinite relaxation
We develop a computationally efficient and memory efficient approach to (near) maximum a posteriori probability demodulation for MIMO systems with QPSK signalling, based on semi...
Mehran Nekuii, Mikalai Kisialiou, Timothy N. David...
CORR
2010
Springer
88views Education» more  CORR 2010»
13 years 7 months ago
Grothendieck inequalities for semidefinite programs with rank constraint
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the ...
Jop Briët, Fernando Mário de Oliveira ...