Wepropose the reduced twin support vector regressor (RTSVR) that uses the notion of rectangular kernels to obtain significant improvements in execution time over the twin support vector regressor (TSVR), thus facilitating its application to larger sized datasets. & 2011 Elsevier B.V. All rights reserved.

With the advent of precision data, cosmology has become an extremely powerful tool for probing particle physics. The prime example of this is the cosmological bound on light neutrino masses. Here I review the current status of cosmological neutrino mass bounds as well as the various uncertainties involved in deriving them. From WMAP, SDSS, and Lyman-α forest data an upper bound on the sum of ne...

In this paper we explore features for text detection within images of scenes containing other background objects using a Support Vector Machine (SVM) algorithm. In our approach, the Haar-like features are designed and utilised on banks of bandpass filters and phase congruency edge maps. The designed features with SVM leverages the properties of text geometry and colour for better differentiatio...

kawasaki disease (kd) is an acute febrile systemic vasculitis of childhood characterized by elevated levels of inflammatory mediators at the acute stage. high-dose intravenous immunoglobulin (ivig) is well accepted as a conventional therapy for kd. the aim of the present study was to determine the expression level of toll like receptors (tlrs) and their corresponding signaling mediators in pbmc...