In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
In this paper we present a clustered, multiple-clock domain (CMCD) microarchitecture that combines the benefits of both clustering and Globally Asynchronous Locally Synchronous (G...
During the requirements elicitation phase, analysts have often to take into consideration laws and regulations enacted by different levels of government. The purpose of this paper...
Alberto Siena, Anna Perini, Angelo Susi, John Mylo...
General-purpose middleware, by definition, cannot readily support domain-specific semantics without significant manual efforts in specializing the middleware. This paper prese...
Sumant Tambe, Akshay Dabholkar, Aniruddha S. Gokha...