Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
We present a novel dedicated hardware system for the extraction of second-order statistical features from high-resolution images. The selected features are based on gray level co-o...
Dimitris G. Bariamis, Dimitrios K. Iakovidis, Dimi...
Distributed search systems are an emerging phenomenon in Web search, in which independent topic-speciļ¬c search engines provide search services, and metasearchers distribute userā...
A general framework for automatic segmentation of diatom images is presented. This segmentation is a critical ļ¬rst step in contour-based methods for automatic identiļ¬cation of ...
Data-sharing scientific communities use storage systems as distributed data stores by replicating content. In such highly replicated environments, a particular dataset can reside ...