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CVPR
2004
IEEE
14 years 11 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
PAMI
2010
139views more  PAMI 2010»
13 years 7 months ago
Order-Preserving Moves for Graph-Cut-Based Optimization
— In the last decade, graph-cut optimization has been popular for a variety of labeling problems. Typically graph-cut methods are used to incorporate smoothness constraints on a ...
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu
DATE
2008
IEEE
106views Hardware» more  DATE 2008»
14 years 3 months ago
Low Power Illinois Scan Architecture for Simultaneous Power and Test Data Volume Reduction
We present Low Power Illinois scan architecture (LPILS) to achieve power dissipation and test data volume reduction, simultaneously. By using the proposed scan architecture, dynam...
Anshuman Chandra, Felix Ng, Rohit Kapur
ARSCOM
2005
98views more  ARSCOM 2005»
13 years 9 months ago
Supereulerian planar graphs
We investigate the supereulerian graph problems within planar graphs, and we prove that if a 2-edge-connected planar graph G is at most three edges short of having two edge-disjoi...
Hong-Jian Lai, Deying Li, Jingzhong Mao, Mingquan ...
PAMI
2007
202views more  PAMI 2007»
13 years 8 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis