Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Computer understanding of visual languages in pen-based environments requires a combination of lexical analysis in which the basic tokens are recognized from hand-drawn gestures an...
Adrian C. Bickerstaffe, Aidan Lane, Bernd Meyer, K...
Abstract. We present a novel computational framework for characterizing signal in brain images via nonlinear pairing of critical values of the signal. Among the astronomically larg...
Moo K. Chung, Vikas Singh, Peter T. Kim, Kim M....
Abstract. The study of natural image statistics considers the statistical properties of large collections of images from natural scenes, and has applications in image processing, c...