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» Model Based Importance Analysis for Minimal Cut Sets
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SMI
2006
IEEE
108views Image Analysis» more  SMI 2006»
13 years 12 months ago
Segmenting Point Sets
There is a growing need to extract features from point sets for purposes like model classification, matching, and exploration. We introduce a technique for segmenting a point-sam...
Ichitaro Yamazaki, Vijay Natarajan, Zhaojun Bai, B...
ISAAC
2010
Springer
253views Algorithms» more  ISAAC 2010»
13 years 3 months ago
Solving Two-Stage Stochastic Steiner Tree Problems by Two-Stage Branch-and-Cut
Abstract. We consider the Steiner tree problem under a 2-stage stochastic model with recourse and finitely many scenarios (SSTP). Thereby, edges are purchased in the first stage wh...
Immanuel M. Bomze, Markus Chimani, Michael Jü...
SCIA
2007
Springer
119views Image Analysis» more  SCIA 2007»
14 years 2 days ago
Watertight Multi-view Reconstruction Based on Volumetric Graph-Cuts
This paper proposes a fast 3D reconstruction approach for efficiently generating watertight 3D models from multiple short baseline views. Our method is based on the combination of...
Mario Sormann, Christopher Zach, Joachim Bauer, Ko...
ICIP
2007
IEEE
14 years 7 months ago
Perceptual Image Coding Based on a Maximum of Minimal Structural Similarity Criterion
Perceptual image coding algorithms typically impose perceptual modeling in a preprocessing stage. A perceptual normalization model is often used to transform the original image si...
Zhou Wang, Qiang Li, Xinli Shang
CVPR
2010
IEEE
13 years 6 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...