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VLSID
2002
IEEE
79views VLSI» more  VLSID 2002»
16 years 6 months ago
A Power Minimization Technique for Arithmetic Circuits by Cell Selection
As a basic cell of arithmetic circuits, a one-bit full adder and a counter are usually used. Minimizing power consumption of these components is a key issue for low-power circuit ...
Masanori Muroyama, Tohru Ishihara, Akihiko Hyodo, ...
ICPR
2008
IEEE
16 years 26 days ago
Semi-supervised feature selection under logistic I-RELIEF framework
We consider feature selection in the semi-supervised learning setting. This problem is rarely addressed in the literature. We propose a new algorithm as a natural extension of the...
Yubo Cheng, Yunpeng Cai, Yijun Sun, Jian Li
CIARP
2008
Springer
15 years 8 months ago
Feature Selection through Dynamic Mesh Optimization
This paper introduces the Dynamic Mesh Optimization meta-heuristic, which falls under the evolutionary computation techniques. Moreover, we outline its application to the feature s...
Rafael Bello, Amilkar Puris, Rafael Falcón,...
CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 6 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
MP
2008
100views more  MP 2008»
15 years 6 months ago
Selected topics in robust convex optimization
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
Aharon Ben-Tal, Arkadi Nemirovski