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SSPR
2004
Springer
14 years 3 months ago
Feature Subset Selection Using an Optimized Hill Climbing Algorithm for Handwritten Character Recognition
This paper presents an optimized Hill Climbing algorithm to select a subset of features for handwritten character recognition. The search is conducted taking into account a random ...
Carlos M. Nunes, Alceu de Souza Britto Jr., Celso ...
TSP
2008
109views more  TSP 2008»
13 years 10 months ago
An Affine Combination of Two LMS Adaptive Filters - Transient Mean-Square Analysis
This paper studies the statistical behavior of an affine combination of the outputs of two least mean-square (LMS) adaptive filters that simultaneously adapt using the same white G...
Neil J. Bershad, José Carlos M. Bermudez, J...
CEC
2010
IEEE
13 years 11 months ago
Smart flight and dynamic tolerances in the artificial bee colony for constrained optimization
This paper presents an adaptation of a novel algorithm based on the foraging behavior of honey bees to solve constrained numerical optimization problems. The modifications focus on...
Efrén Mezura-Montes, Mauricio Damian-Araoz,...
ICCAD
2007
IEEE
161views Hardware» more  ICCAD 2007»
14 years 7 months ago
Clustering based pruning for statistical criticality computation under process variations
— We present a new linear time technique to compute criticality information in a timing graph by dividing it into “zones”. Errors in using tightness probabilities for critica...
Hushrav Mogal, Haifeng Qian, Sachin S. Sapatnekar,...
DCC
2010
IEEE
14 years 5 months ago
An MCMC Approach to Lossy Compression of Continuous Sources
Motivated by the Markov chain Monte Carlo (MCMC) relaxation method of Jalali and Weissman, we propose a lossy compression algorithm for continuous amplitude sources that relies on...
Dror Baron, Tsachy Weissman