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BMCBI
2006
146views more  BMCBI 2006»
13 years 9 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...
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
14 years 2 months ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
BIOSTEC
2008
114views Healthcare» more  BIOSTEC 2008»
13 years 10 months ago
A Supervised Wavelet Transform Algorithm for R Spike Detection in Noisy ECGs
Abstract. The wavelet transform is a widely used pre-filtering step for subsequent R spike detection by thresholding of the coefficients. The time-frequency decomposition is indeed...
Gael de Lannoy, Arnaud de Decker, Michel Verleysen
CPAIOR
2010
Springer
14 years 20 days ago
An In-Out Approach to Disjunctive Optimization
Cutting plane methods are widely used for solving convex optimization problems and are of fundamental importance, e.g., to provide tight bounds for Mixed-Integer Programs (MIPs). T...
Matteo Fischetti, Domenico Salvagnin
BMCBI
2008
219views more  BMCBI 2008»
13 years 9 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong