Detection of obstacles for autonomous vehicles is more difficult when the terrain is not locally planar and remains an open problem. We have developed an approach suited for obsta...
In this article we develop an indirect approach for assessing criteria significance weights from the robustness of the significance that a decision maker acknowledges for his pai...
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial definition of ...
The subject of this paper is the semi-automatic construction of taxonomies over the Web. We address the problem of discovering high-quality resources that belong in a particular n...
Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopala...
A novel approach to testing sequential circuits that uses multi-level decision diagram representations is introduced. The proposed algorithm consists of a combination of scanning ...