Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
In this paper we present a system to locate, extract and recognize Telugu text. The circular nature of Telugu script is exploited for segmenting text regions using the Hough Trans...
Atul Negi, K. Nikhil Shanker, Chandra Kanth Chered...
Power system transient stability analysis computes the response of the rapidly changing electrical components of a power system to a sequence of large disturbances followed by ope...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...