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RTA
2007
Springer
14 years 1 months ago
A Simple Proof That Super-Consistency Implies Cut Elimination
Abstract. We give a simple and direct proof that super-consistency implies cut elimination in deduction modulo. This proof can be seen as a simplification of the proof that super-...
Gilles Dowek, Olivier Hermant
ICCV
2007
IEEE
14 years 9 months ago
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
Indisputably Normalized Cuts is one of the most popular segmentation algorithms in computer vision. It has been applied to a wide range of segmentation tasks with great success. A...
Anders P. Eriksson, Carl Olsson, Fredrik Kahl
MICCAI
2006
Springer
14 years 8 months ago
Multi-resolution Vessel Segmentation Using Normalized Cuts in Retinal Images
Abstract. Retinal vessel segmentation is an essential step of the diagnoses of various eye diseases. In this paper, we propose an automatic, efficient and unsupervised method based...
Wenchao Cai, Albert C. S. Chung
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
PAMI
2010
112views more  PAMI 2010»
13 years 5 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum