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BMCBI
2006
146views more  BMCBI 2006»
15 years 6 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ICIAP
2007
ACM
16 years 6 months ago
Efficient and optimal block matching for motion estimation
This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation....
Stefano Mattoccia, Federico Tombari, Luigi di Stef...
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
16 years 25 days ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
CSB
2005
IEEE
117views Bioinformatics» more  CSB 2005»
16 years 4 days ago
Protein Structure Prediction Using Physical-Based Global Optimization and Knowledge-Guided Fragment Packing
We describe a new method to predict the tertiary structure of new-fold proteins. Our two-phase approach combines the knowledge-based fragmentpacking with the minimization of a phy...
Jinhui Ding, Elizabeth Eskow, Nelson L. Max, Silvi...
ISMVL
1999
IEEE
76views Hardware» more  ISMVL 1999»
15 years 10 months ago
Multiple-Valued Minimization to Optimize PLAs with Output EXOR Gates
This paper considers an optimization method of programmable logic arrays (PLAs), which have two-input EXOR gate at the outputs. The PLA realizes an EXOR of two sum-of-products exp...
Debatosh Debnath, Tsutomu Sasao