We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
Abstract. We investigate the evolutionary processes behind the development and optimization of multiple threads of execution in digital organisms using the avida platform, a softwa...
Charles Ofria, Christoph Adami, Travis C. Collier,...
In this paper, we describe the unique security issues involved in healthcare domains. These have been addressed to the needs of the HealthAgents project. In the proposed approach,...
As the effective limits of frequency and instruction level parallelism have been reached, the strategy of microprocessor vendors has changed to increase the number of processing ...
Geoffrey Blake, Ronald G. Dreslinski, Trevor N. Mu...
Many modern software systems are often large, distributed, written in more than one programming language, and developed using pre-built components. This paper presents the results...