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» On the symmetry function of a convex set
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AAAI
2010
15 years 15 days ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
117
Voted
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
14 years 11 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
DCG
2010
171views more  DCG 2010»
14 years 11 months ago
Bregman Voronoi Diagrams
The Voronoi diagram of a point set is a fundamental geometric structure that partitions the space into elementary regions of influence defining a discrete proximity graph and dual...
Jean-Daniel Boissonnat, Frank Nielsen, Richard Noc...
IJON
2008
158views more  IJON 2008»
14 years 11 months ago
Blind separation of convolutive image mixtures
Convolutive mixtures of images are common in photography of semi-reflections. They also occur in microscopy and tomography. Their formation process involves focusing on an object ...
Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevs...
129
Voted
TCOM
2010
197views more  TCOM 2010»
14 years 9 months ago
Power control for cooperative dynamic spectrum access networks with diverse QoS constraints
Dynamic spectrum access (DSA) is an integral part of cognitive radio technology aiming at efficient management of the available power and bandwidth resources. The present paper d...
Nikolaos Gatsis, Antonio G. Marqués, Georgi...