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ACIVS
2006
Springer
13 years 11 months ago
A Linear-Time Approach for Image Segmentation Using Graph-Cut Measures
Abstract. Image segmentation using graph cuts have become very popular in the last years. These methods are computationally expensive, even with hard constraints (seed pixels). We ...
Alexandre X. Falcão, Paulo A. V. Miranda, A...
MICCAI
2001
Springer
13 years 9 months ago
Segmentation of Dynamic N-D Data Sets via Graph Cuts Using Markov Models
Abstract. This paper describes a new segmentation technique for multidimensional dynamic data. One example of such data is a perfusion sequence where a number of 3D MRI volumes sho...
Yuri Boykov, Vivian S. Lee, Henry Rusinek, Ravi Ba...
PAMI
2010
396views more  PAMI 2010»
13 years 3 months ago
Self-Validated Labeling of Markov Random Fields for Image Segmentation
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
Wei Feng, Jiaya Jia, Zhi-Qiang Liu
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 5 months ago
Quasi-randomness of graph balanced cut properties
Quasi-random graphs can be informally described as graphs whose edge distribution closely resembles that of a truly random graph of the same edge density. Recently, Shapira and Yu...
Hao Huang, Choongbum Lee
ISAAC
2010
Springer
226views Algorithms» more  ISAAC 2010»
13 years 3 months ago
On Tractable Cases of Target Set Selection
We study the NP-complete TARGET SET SELECTION (TSS) problem occurring in social network analysis. Complementing results on its approximability and extending results for its restric...
André Nichterlein, Rolf Niedermeier, Johann...