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%. The main reason is that the features of the direct combination include the information of the reverberation environment, and the classification information of the substrate is weakened. After the feature...-based method for feature subset selection [J]. Soft Computing, 2008, 12(2): 111-120. [25] ZHOU Yong, LI You-wen, XIA Shi-xiong. An improved knn text classification algorithm based on clustering [J......
Radar emitter signal recognition based on multi-scale wavelet entropy and feature weightingLI Yi-bing(李一兵), GE Juan(葛娟), LIN Yun(林云), YE Fang(叶方) (Department of Information and Communication...-resolution wavelet analysis, an adaptive radar emitter signal recognition method based on multi-scale wavelet entropy feature extraction and feature weighting was proposed. With the only priori knowledge......
J. Cent. South Univ. Technol. (2007)04-0563-05 DOI: 10.1007/s11771-007-0108-y Authentication based on feature of hand-written signature ZHU Shu-ren(朱树人)1,2 (1. School of Information Science... the office automation systems. Key words: behavioral biostatistics feature; hand-written signature; hidden Markov mode; signature verification......
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J. Cent. South Univ. (2012) 19: 2238-2246 DOI: 10.1007/s11771-012-1268-y Vibration-based feature extraction of determining dynamic characteristic for engine block low vibration design DU Xian-feng(杜宪... and Springer-Verlag Berlin Heidelberg 2012 Abstract: In order to maintain vibration performances within the limits of the design, a vibration-based feature extraction method for dynamic characteristic......
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University of Commerce, Changsha 401201, China ? Central South University Press and Springer-Verlag Berlin Heidelberg 2010 Abstract: In order to extract froth morphological feature, a bubble image adaptive... much high accuracy, based on which, the bubble size and shape features are extracted effectively. Key words: flotation; froth image; adaptive segmentation; pattern spectrum; morphological feature 1......
J. Cent. South Univ. (2019) 26: 719-727 DOI: https://doi.org/10.1007/s11771-019-4042-6 Lithological classification of cement quarry using discriminant algorithms Bulent TUTMEZ Department of Mining... the cement components in accordance with the specifications required, making the classification of the cement raw material pit is needed. To make this identification in a spatial system at a quarry stage......
in the application to spam filtering, which does not distinguish the varying importance of various features, leading to a low recall rate in mail classification. In addition, existing Bayesian... to distinguish their importance in mail classification, and then compares the probabilities that a mail respectively fall into the spam class or the normal mail class. The results show......
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