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CPC
2006
110views more  CPC 2006»
13 years 7 months ago
Solving Sparse Random Instances of Max Cut and Max 2-CSP in Linear Expected Time
Abstract. We show that a maximum cut of a random graph below the giantcomponent threshold can be found in linear space and linear expected time by a simple algorithm. In fact, the ...
Alexander D. Scott, Gregory B. Sorkin
TAMC
2009
Springer
14 years 2 months ago
Approximation and Hardness Results for Label Cut and Related Problems
We investigate a natural combinatorial optimization problem called the Label Cut problem. Given an input graph G with a source s and a sink t, the edges of G are classified into ...
Peng Zhang, Jin-yi Cai, Linqing Tang, Wenbo Zhao
ICCV
2005
IEEE
14 years 9 months ago
A Multilevel Banded Graph Cuts Method for Fast Image Segmentation
Herve Lombaert, Yiyong Sun, Leo Grady, Chenyang Xu
ICPR
2004
IEEE
14 years 8 months ago
Generating Omnifocus Images Using Graph Cuts and a New Focus Measure
Himanshu Arora, Kar-Han Tan, Narendra Ahuja, Ning ...
CORR
2010
Springer
97views Education» more  CORR 2010»
13 years 7 months ago
A Linear-time Algorithm for Sparsification of Unweighted Graphs
Given an undirected graph G and an error parameter > 0, the graph sparsification problem requires sampling edges in G and giving the sampled edges appropriate weights to obtai...
Ramesh Hariharan, Debmalya Panigrahi