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» Using Gaussian Processes to Optimize Expensive Functions
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ASPDAC
2009
ACM
122views Hardware» more  ASPDAC 2009»
14 years 3 months ago
Tolerating process variations in high-level synthesis using transparent latches
—Considering process variability at the behavior synthesis level is necessary, because it makes some instances of function units slower and others faster, resulting in unbalanced...
Yibo Chen, Yuan Xie
ICIP
1999
IEEE
14 years 10 months ago
Programmable Hardware Implementation for the Median-Rational Hybrid Filters
The Median-Rational Hybrid Filter (MRHF) has been recently introduced [1][2] as a new class of nonlinear filters and successfully applied to image filtering problems. The main cha...
Lazhar Khriji, Giuseppe Bernacchia, Moncef Gabbouj...
GECCO
1999
Springer
167views Optimization» more  GECCO 1999»
14 years 1 months ago
A Biologically Inspired Fitness Function for Robotic Grasping
This paper describes the innovative use of genetic programming (GP) to solve the grasp synthesis problem for multifingered robot hands. The goal of our algorithm is to select a Ò...
J. Jaime Fernandez, Ian D. Walker
ICIP
2009
IEEE
14 years 10 months ago
Optimal Detection And Tracking Of Feature Points Using Mutual Information
This paper proposes a new way to achieve feature point tracking using the entropy of the image. Sum of Squared Differences (SSD) is widely considered in differential trackers such ...
GECCO
2005
Springer
111views Optimization» more  GECCO 2005»
14 years 2 months ago
Optimization with constraints using a cultured differential evolution approach
In this paper we propose a cultural algorithm, where different knowledge sources modify the variation operator of a differential evolution algorithm. Differential evolution is u...
Ricardo Landa Becerra, Carlos A. Coello Coello