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» Optimal Graph Search with Iterated Graph Cuts
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DATE
2005
IEEE
109views Hardware» more  DATE 2005»
15 years 3 months ago
ISEGEN: Generation of High-Quality Instruction Set Extensions by Iterative Improvement
Customization of processor architectures through Instruction Set Extensions (ISEs) is an effective way to meet the growing performance demands of embedded applications. A high-qua...
Partha Biswas, Sudarshan Banerjee, Nikil D. Dutt, ...
FGCS
2000
83views more  FGCS 2000»
14 years 9 months ago
A Graph-based Ant System and its convergence
: A general framework for solving combinatorial optimization problems heuristically by the Ant System approach is developed. The framework is based on the concept of a construction...
Walter J. Gutjahr
CVPR
1997
IEEE
15 years 1 months ago
Normalized Cuts and Image Segmentation
ÐWe propose a novel approach for solving the perceptual grouping problem in vision. Rather than focusing on local features and their consistencies in the image data, our approach ...
Jianbo Shi, Jitendra Malik
IFL
1997
Springer
136views Formal Methods» more  IFL 1997»
15 years 1 months ago
Fully Persistent Graphs - Which One To Choose?
Functional programs, by nature, operate on functional, or persistent, data structures. Therefore, persistent graphs are a prerequisite to express functional graph algorithms. In th...
Martin Erwig
FOCS
2006
IEEE
15 years 3 months ago
Local Graph Partitioning using PageRank Vectors
A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on the size of the small side of the cut, rather than...
Reid Andersen, Fan R. K. Chung, Kevin J. Lang