Evolutionary computation for statistical pattern recognition
139 p.
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sg-ntu-dr.10356-391282023-07-04T17:04:36Z Evolutionary computation for statistical pattern recognition Wang, Xiao Wang Han School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition 139 p. Evolutionary computation as a general problem-solving technique has been extensively applied in statistical pattern recognition. Typically, evolutionary algorithms are developed to solve complex optimization and search problems involved in different folds of designing a recognition system, e.g. feature extraction, supervised classification and clustering. These problems are often characterized by high-dimensional search spaces with convoluted landscape, noisy data, and little information about the objective functions. Traditional optimization methods are not efficient in dealing with them and evolutionaryalgorithms are therefore introduced. DOCTOR OF PHILOSOPHY (EEE) 2010-05-21T04:44:53Z 2010-05-21T04:44:53Z 2006 2006 Thesis Wang, X. (2006). Evolutionary computation for statistical pattern recognition. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/39128 10.32657/10356/39128 application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Wang, Xiao Evolutionary computation for statistical pattern recognition |
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139 p. |
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Wang Han |
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Wang Han Wang, Xiao |
format |
Theses and Dissertations |
author |
Wang, Xiao |
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Wang, Xiao |
title |
Evolutionary computation for statistical pattern recognition |
title_short |
Evolutionary computation for statistical pattern recognition |
title_full |
Evolutionary computation for statistical pattern recognition |
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Evolutionary computation for statistical pattern recognition |
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Evolutionary computation for statistical pattern recognition |
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evolutionary computation for statistical pattern recognition |
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2010 |
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https://hdl.handle.net/10356/39128 |
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1772828930351300608 |