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» Solving Sparse Linear Constraints
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MP
2007
76views more  MP 2007»
14 years 10 months ago
Universal duality in conic convex optimization
Given a primal-dual pair of linear programs, it is well known that if their optimal values are viewed as lying on the extended real line, then the duality gap is zero, unless both...
Simon P. Schurr, André L. Tits, Dianne P. O...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 5 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
CGF
2007
94views more  CGF 2007»
14 years 11 months ago
Effective Derivation of Similarity Transformations for Implicit Laplacian Mesh Editing
Laplacian coordinates as a local shape descriptor have been employed in mesh editing. As they are encoded in the global coordinate system, they need to be transformed locally to r...
Hongbo Fu, Oscar Kin-Chung Au, Chiew-Lan Tai
ICASSP
2008
IEEE
15 years 5 months ago
Least-squares design of subsampled allpass transformed DFT filter-banks with LTI property
A new design approach for an allpass transformed analysis-synthesis filter-bank (AS FB) with subsampling is proposed, which can be used for adaptive subband processing with non-u...
Heinrich W. Löllmann, Guido Dartmann, Peter V...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 5 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth