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Typically, two aspects are used to evaluate the quality of a classification model, i.e., the classifying accuracy and the interpretability. The recently developed sparse representation-based face recognition techniques, though achieving high accuracies, rarely concern the interpretability of the classification model. In particular, the obtained sparseness, in terms of the sparse representative coefficient...
The existence of vast unstructured text and the importance of the text information make the text mining technology be a hot research spot of Data Mining. Text classification is a very important subtask in the text mining. This paper focuses on the study of Chinese text classification based on single Chinese character feature. The experimental results indicate that the feature selection based on single...
The purpose of this paper is to investigate the incomplete information system in which all unknown values are considered as "do not care" conditions by rough set technique. Based on the non-symmetric similarity relation for classification analysis in such information system, we propose the concept of valued similarity relation to show the degree that an object is similar to another one....
The Foley–Sammon discriminant (FSD) exhibits higher performance in face recognition than the Fisher linear discriminant due to its elimination of dependences among discriminant vectors. But its theory is complex and the calculation is time expensive. The orthogonalized Fisher discriminant (OFD), which also derives a set of orthogonal discriminant vectors, is very simple and easy to implement. Experiments...
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