We consider the veri cation of a particular class of in nite-state systems, namely systems consisting of nite-state processes that communicate via unbounded lossy FIFO channels. T...
Model-driven approaches proved themselves not suited yet to support real-time software development. Even if they have the ability of capturing adequately both functional and non-f...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
This paper exploits the spatial representation of state space problem graphs to preprocess and enhance heuristic search engines. It combines classical AI exploration with computati...
We propose a novel approach to auditory stream segregation which extracts individual sounds (auditory stream) from a mixture of sounds in auditory scene analysis. The HBSS (Harmon...
Tomohiro Nakatani, Hiroshi G. Okuno, Takeshi Kawab...