When linear support vector machines (SVMs) are applied to multi-class text categorization in industry, the size of the linear SVM model is very large, usually greater than several...
— In block-fading transmission, the discrete-time taps of time-varying channels can be generally modelled as a stationary random vector process with unknown and rank-deficient c...
Many data mining techniques are these days in use for ontology learning – text mining, Web mining, graph mining, link analysis, relational data mining, and so on. In the current ...
The pipelined CORDIC with linear approximation to rotation has been proposed to achieve reductions in delay, power and area; however, the schemes for rotation (multiplication) and...
In this paper, we present a methodology that uses the moments of a generic crosstalk pulse signal to derive upper bounds on the amplitude of crosstalk pulse in arbitrary interconn...