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...
We propose a new method for solving structured CSPs which generalizes and improves the Cyclic-Clustering approach [4]. First, the cutset and the tree-decomposition of the constrai...
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...
We present an approach to parallel variational optical flow computation by using an arbitrary partition of the image plane and iteratively solving related local variational proble...
We generalize the notions of flippable and simultaneously-flippable edges in a triangulation of a set S of points in the plane, into so called pseudo simultaneously-flippable edge...
Michael Hoffmann, Micha Sharir, Adam Sheffer, Csab...