The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
: We present the implementation of on-line Hebbian learning for NESPINN, the Neurocomputer for the simulation of spiking neurons. In order to support various forms of Hebbian learn...
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
We report a case study of designing a mobile phone of the future, involving participatory requirements elicitation using a form of scenario-based design. Participants took photogr...
Abstract. This paper outlines the technical details of a prototype system for searching and browsing over a million images from the World Wide Web using their visual contents. The ...