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» An Optimal Algorithm for the Maximum-Density Segment Problem
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PAMI
2007
202views more  PAMI 2007»
13 years 6 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
GBRPR
2005
Springer
14 years 7 days ago
Hypergraph-Based Image Representation
Abstract. An appropriate image representation induces some good image treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling a lot of problems ...
Alain Bretto, Luc Gillibert
CBMS
2000
IEEE
13 years 11 months ago
Real-Time Extraction of Carotid Artery Contours from Ultrasound Images
This paper presents the developement of a novel, fullyautomatic tracking and segmentation system to extract the boundary of the carotid artery from ultrasound images in real-time....
Purang Abolmaesumi, Mohammad Reza Sirouspour, S. E...
CVPR
2009
IEEE
1696views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Fast Normalized Cut with Linear Constraints
Normalized Cut is a widely used technique for solving a variety of problems. Although finding the optimal normalized cut has proven to be NP-hard, spectral relaxations can be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...
ISBI
2009
IEEE
14 years 1 months ago
Structural Annotation of EM Images by Graph Cut
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...
Hang Chang, Manfred Auer, Bahram Parvin