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» Basics of Graph Cuts
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CPC
2006
110views more  CPC 2006»
15 years 3 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
143
Voted
TAMC
2009
Springer
15 years 10 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
96
Voted
ICCV
2005
IEEE
16 years 5 months ago
A Multilevel Banded Graph Cuts Method for Fast Image Segmentation
Herve Lombaert, Yiyong Sun, Leo Grady, Chenyang Xu
77
Voted
ICPR
2004
IEEE
16 years 4 months ago
Generating Omnifocus Images Using Graph Cuts and a New Focus Measure
Himanshu Arora, Kar-Han Tan, Narendra Ahuja, Ning ...
107
Voted
CORR
2010
Springer
97views Education» more  CORR 2010»
15 years 3 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