The sparse grid discretization technique enables a compressed representation of higher-dimensional functions. In its original form, it relies heavily on recursion and complex data...
Alin Florindor Murarasu, Josef Weidendorfer, Gerri...
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the f...
Any model-based evaluation of the dependability of a system requires validation and verification to justify that its results are meaningful. Modern modeling frameworks enable us ...
In this paper, we present a parallel algorithm for the minimization of deterministic finite state automata (DFA's) and discuss its implementation on a connection machine CM-5...