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» Particle Swarm Optimization: Basic Concepts, Variants and Ap...
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PAMI
2008
121views more  PAMI 2008»
13 years 7 months ago
Theoretical Foundations of Spatially-Variant Mathematical Morphology Part II: Gray-Level Images
In this paper, we develop a spatially-variant (SV) mathematical morphology theory for gray-level signals and images in the euclidean space. The proposed theory preserves the geomet...
Nidhal Bouaynaya, Dan Schonfeld
TEC
2011
134views more  TEC 2011»
13 years 2 months ago
Differential Evolution: A Survey of the State-of-the-Art
—Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational step...
Swagatam Das, Ponnuthurai Nagaratnam Suganthan
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
CCECE
2009
IEEE
14 years 2 months ago
Inverse data transformation for change detection in wind turbine diagnostics
A complex system is expected to show different nominal behaviors under different conditions, and the deviation over time from these nominal behaviors is an indicator of potential ...
Yanjun Yan, Lisa Ann Osadciw, Glen Benson, Eric Wh...
ICMCS
2007
IEEE
144views Multimedia» more  ICMCS 2007»
14 years 1 months ago
A Framework for Modular Signal Processing Systems with High-Performance Requirements
This paper introduces the software framework MMER Lab which allows an effective assembly of modular signal processing systems optimized for memory efficiency and performance. Our...
Lukas Diduch, Ronald Müller, Gerhard Rigoll