This paper presents an architectural model for contextual-based delegation access control for pervasive computing, particularly access control mechanisms for ad hoc coalition scen...
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
We propose a novel multi-stream framework for continuous conversational speech recognition which employs bidirectional Long Short-Term Memory (BLSTM) networks for phoneme predicti...
Aspect orientation is important not only at the programming-level but also at the modeling-level. We previously proposed an aspect-oriented modeling language called AspectM for ma...
This paper presents Kato, a tool that implements a novel class of optimizations that are inspired by program slicing for imperative languages but are applicable to analyzable decl...