—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
As multicore architectures gain widespread use, it becomes increasingly important to be able to harness their additional processing power to achieve higher performance. However, e...
David Zhang, Qiuyuan J. Li, Rodric Rabbah, Saman A...
Content-based retrieval has emerged in the face of content explosion as a promising approach to information access. In this paper, we focus on the challenging issue of recognizing ...
Yi-Hsuan Yang, Yu-Ching Lin, Ya-Fan Su, Homer H. C...
As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent branch predictor becomes more vital to delivering the...
The concept of information landscapes has been a constant theme in the development of interactive multimedia packages. For the interface and access to this information to be effec...
John G. Hedberg, Barry Harper, Christine Brown, Ro...