The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
This paper addresses the efficient processing of similarity queries in metric spaces, where data is horizontally distributed across a P2P network. The proposed approach does not r...
The research work is carried out to enhance the recognition accuracy of neural network with Phase Only Correlation (POC) and reduce the time required for POC by refining its input...
A distributed concurrent search algorithm for distributed constraint satisfaction problems (DisCSPs) is presented. Concurrent search algorithms are composed of multiple search proc...
Multidimensional Packet Classification is one of the most critical functions for network security devices such as firewalls and intrusion detection systems. Due to the worst case ...