dc.contributor | 資科系 | |
dc.creator (作者) | Wu, Y.-L.;Tang, C.-Y.;Hor, Maw-Kae;Wu, P.-F. | |
dc.creator (作者) | 何瑁鎧 | zh_TW |
dc.date (日期) | 2011-03 | |
dc.date.accessioned | 22-六月-2015 16:13:39 (UTC+8) | - |
dc.date.available | 22-六月-2015 16:13:39 (UTC+8) | - |
dc.date.issued (上傳時間) | 22-六月-2015 16:13:39 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76055 | - |
dc.description.abstract (摘要) | Feature selection plays an important role in image retrieval systems. The better selection of features usually results in higher retrieval accuracy. This work tries to select the best feature set from a total of 78 low level image features, including regional, color, and textual features, using the genetic algorithms (GA). However, the GA is known to be slow to converge. In this work we propose two directions to improve the convergence time of the GA. First we employ the Taguchi method to reduce the number of necessary offspring to be tested in every generation in the GA. Second we propose to use an alternative measure, the Hubert`s Γ statistics, to evaluate the fitness of each offspring instead of evaluating the retrieval accuracy directly. The experiment results show that the proposed techniques improve the feature selection results by using the GA in both time and accuracy. © 2010 Elsevier Ltd. All rights reserved. | |
dc.format.extent | 1059083 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.relation (關聯) | Expert Systems with Applications, 38(3), 2727-2732 | |
dc.subject (關鍵詞) | Cluster validation; Convergence time; Feature selection; Feature sets; Image retrieval systems; Low-level image features; Retrieval accuracy; Taguchi; Two directions; Clustering algorithms; Genetic algorithms; Image retrieval; Taguchi methods; Feature extraction | |
dc.title (題名) | Feature selection using genetic algorithm and cluster validation | |
dc.type (資料類型) | article | en |
dc.identifier.doi (DOI) | 10.1016/j.eswa.2010.08.062 | |
dc.doi.uri (DOI) | http://dx.doi.org/10.1016/j.eswa.2010.08.062 | |