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Multiset features extracted from the same patterns always represent different characteristics of data. Thus, it is very valuable to perform the extraction on multiple feature sets. This paper addresses the issue of multiset correlation feature extraction (MCFE) in multiple feature representations. A novel method is proposed to carry out the MCFE for classification, called multiset canonical correlations...
In order to evaluate the quality of the electronic journals published on the Internet, this paper proposes a multi-attribute group decision approach. According to the respective characteristics of the different attributes, the appropriate linguistic evaluation sets are designed for assessing the journals. The basic linguistic evaluation set is set up, based on which various linguistic evaluation terms...
Based on the consideration that multiset integrated canonical correlation analysis (MICCA) does not include the class information of the samples, this paper presents a discriminative learning version of MICCA, called discriminative-analysis of multiset integrated canonical correlations (DMICC). The extracted features by DMICC not only contain the class information of training samples, but also possess...
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