Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
A motion adaptive de-interlacing algorithm and its hardware architecture are presented in this paper. It consists the directional interpolation - ELA with median processing, and 4...
In this paper, we study the problems of resource and performance management in channelized wireless networks. For identifying research issues systematically, we propose a research...
The spectral method can lead to a high quality of multi-way partition due to its ability to capture global netlist information. For spectral partition, n netlist modules are mappe...
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...