There is growing interest in technologies that support user experiences emphasizing aesthetic satisfaction and enjoyment rather than task accomplishment. Evaluating such experienc...
Maximum Margin Criterion (MMC) based Feature Extraction method is more efficient than LDA for calculating the discriminant vectors since it does not need to calculate the inverse ...
Wankou Yang, Jianguo Wang, Mingwu Ren, Jingyu Yang
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
A challenging issue facing Grid communities is that while Grids can provide access to many heterogeneous resources, the resources to which access is provided often do not match th...
Ian T. Foster, Timothy Freeman, Katarzyna Keahey, ...
Recent researches have highlighted the importance of developing a network with distributed problem solving abilities thus enhancing reliability with equal share of network resourc...