Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...
Information Fusion of multi-modal Biometrics has attracted much attention in recent years. However, this paper focuses on the information fusion in single modals, that is, the fac...
Bo Cao, Peng Yang, Shiguang Shan, Wen Gao, Wenchao...
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...