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» On Spectral Graph Drawing
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FCS
2009
15 years 4 months ago
Spectral Analysis of Attractors in Random Boolean Network Models
Circuits and loops in graph systems can be used to model the attractors in gene-regulatory networks. The number of such attractors grows very rapidly with network size and even fo...
Kenneth A. Hawick
MICCAI
2005
Springer
15 years 11 months ago
Spectral Clustering Algorithms for Ultrasound Image Segmentation
Abstract. Image segmentation algorithms derived from spectral clustering analysis rely on the eigenvectors of the Laplacian of a weighted graph obtained from the image. The NCut cr...
Neculai Archip, Robert Rohling, Peter Cooperberg, ...
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
15 years 11 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu
RSA
2008
80views more  RSA 2008»
15 years 5 months ago
A spectral technique for random satisfiable 3CNF formulas
Let I be a random 3CNF formula generated by choosing a truth assignment for variables x1, . . . , xn uniformly at random and including every clause with i literals set true by w...
Abraham Flaxman
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
15 years 4 months ago
Maximum likelihood mapping with spectral image registration
Abstract— A core challenge in probabilistic mapping is to extract meaningful uncertainty information from data registration methods. While this has been investigated in ICP-based...
Max Pfingsthorn, Andreas Birk 0002, Sören Sch...