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» Optimization on Support Vector Machines
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112
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MP
2002
195views more  MP 2002»
14 years 10 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
90
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VLSID
2004
IEEE
125views VLSI» more  VLSID 2004»
15 years 10 months ago
Energy-Optimizing Source Code Transformations for OS-driven Embedded Software
The increasing software content of battery-powered embedded systems has fueled much interest in techniques for developing energyefficient embedded software. Source code transforma...
Yunsi Fei, Srivaths Ravi, Anand Raghunathan, Niraj...
102
Voted
MP
2010
154views more  MP 2010»
14 years 8 months ago
A null-space primal-dual interior-point algorithm for nonlinear optimization with nice convergence properties
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...
Xinwei Liu, Yaxiang Yuan
84
Voted
MST
2000
101views more  MST 2000»
14 years 10 months ago
Robust Parallel Computations through Randomization
In this paper we present an efficient general simulation strategy for computations designed for fully operational BSP machines of n ideal processors, on n-processor dynamic-fault-p...
Spyros C. Kontogiannis, Grammati E. Pantziou, Paul...
133
Voted
CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 2 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu