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HPCA
2008
IEEE
16 years 7 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
ICDAR
2009
IEEE
16 years 1 months ago
A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization
This paper presents a novel approach for skew correction of documents. Skew correction is modelled as an optimization problem, and for the first time, Particle Swarm Optimization...
Javad Sadri, Mohamed Cheriet
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
16 years 1 months ago
Discrete Regularization for Perceptual Image Segmentation via Semi-Supervised Learning and Optimal Control
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
Hongwei Zheng, Olaf Hellwich
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 10 days ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
ICANN
2010
Springer
15 years 7 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...