An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...
This paper describes the synthesis of dynamic differential logic to increase the resistance of FPGAs against Differential Power Analysis. Compared with an existing technique, it sa...
—This paper describes a system-level modeling method in UML for performance evaluation of embedded systems. The core technology of this modeling method is reverse modeling based ...
While most previous work in planning manipulation tasks relies on the assumption of quasi-static conditions, there can be situations where the quasi-static assumption may not hold...
This paper describes the core theories and enabling technologies developed for molecular imaging at the BMIT Group and the CMSP Center over the last 10 years, in the areas of dyna...