Power transformers' failures carry great costs to electric companies since they need resources to recover from them and to perform periodical maintenance. To avoid this probl...
Fusing the scores of several biometric systems is a very promising approach to improve the overall system’s accuracy. Despite many works in the literature, it is surprising that ...
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Distributed key-value stores are now a standard component of high-performance web services and cloud computing applications. While key-value stores offer significant performance...