Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Combining theorem proving and model checking o ers the tantalizing possibility of e ciently reasoning about large circuits at high levels of abstraction. We have constructed a syst...
Mark Aagaard, Robert B. Jones, Carl-Johan H. Seger
This paper proposes a methodology for the extension of SystemC to mixed signal systems. An oscillator made up of an inverter chain has been used to test the accuracy and stability...
Massimo Conti, Marco Caldari, Simone Orcioni, Gior...
Web transactions may be complex, composed of several sub-transactions accessing different resources including legacy systems. They may also have complex semantics. To deal with co...
A common approach to extract phonemes of sign language is to use an unsupervised clustering algorithm to group the sign segments. However, simple clustering algorithms based on dis...