As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Abstract. The main thrust of the paper is the design and the numerical analysis of new capand-trade schemes for the control and the reduction of atmospheric pollution. The tools de...
The robot hand applying force on a deformable object will result in a changing wrench space due to the varying shape and normal of the contact area. Design and analysis of a manipu...
Optimizing the performance of a multi-core microprocessor within a power budget has recently received a lot of attention. However, most existing solutions are centralized and cann...