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AUTOMATICA
2004
128views more  AUTOMATICA 2004»
13 years 4 months ago
A convex optimization approach to the mode acceleration problem
The purpose of this note is to introduce an alternative procedure to the mode acceleration method when the underlying structure model includes damping. We will show that the probl...
S. O. Reza Moheimani, Dunant Halim
JGO
2008
98views more  JGO 2008»
13 years 4 months ago
Duality for almost convex optimization problems via the perturbation approach
Abstract. We deal with duality for almost convex finite dimensional optimization problems by means of the classical perturbation approach. To this aim some standard results from th...
Radu Ioan Bot, Gábor Kassay, Gert Wanka
CORR
2011
Springer
261views Education» more  CORR 2011»
12 years 11 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
DATE
2009
IEEE
129views Hardware» more  DATE 2009»
13 years 11 months ago
Energy minimization for real-time systems with non-convex and discrete operation modes
—We present an optimal methodology for dynamic voltage scheduling problem in the presence of realistic assumption such as leakage-power and intra-task overheads. Our contribution...
Foad Dabiri, Alireza Vahdatpour, Miodrag Potkonjak...
NIPS
2007
13 years 6 months ago
Discriminative Batch Mode Active Learning
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
Yuhong Guo, Dale Schuurmans