Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
As more criminals use encryption to conceal incriminating evidence, forensic examiners require practical methods for recovering some or all of the encrypted data. This paper prese...
NEURObjects is a set of C++ library classes for neural network development, exploiting the potentialities of object-oriented design and programming. The main goal of the library c...
: Context is the challenge for the coming years in Artificial Intelligence. In the companion paper [8], we present the main results of discussions at two workshops and at the first...
Case studies are widely used in business and medicine to help students learn from the successes and failures of practitioners in the field. This paper discusses the potential bene...
Kay A. Robbins, Catherine Sauls Key, Keith Dickins...