This paper proposes two very fast graph theoretic heuristics for the low power binding problem given fixed number of resources and multiple architectures for the resources. First...
In [Jegou, 1993], a decomposition method has been introduced for improving search efficiency in the area of Constraint Satisfaction Problems. This method is based on properties of...
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. While solving a CSP is an NP-complet...
To reason about geographical objects, it is not only necessary to have more or less complete information about where these objects are located in space, but also how they can chang...