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ICVS
2003
Springer
14 years 1 months ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
ISBI
2006
IEEE
14 years 9 months ago
Early detection of rejection in cardiac MRI: a spectral graph approach
This paper develops an algorithm to detect abnormalities of small animals' transplanted hearts in MRI, at early stage of rejection when the hearts do not display prominent ab...
Chien Ho, Hsun-Hsien Chang, José M. F. Mour...
JGAA
2007
88views more  JGAA 2007»
13 years 8 months ago
Dynamic Spectral Layout with an Application to Small Worlds
Spectral methods are naturally suited for dynamic graph layout because, usually, moderate changes of a graph yield moderate changes of the layout. We discuss some general principl...
Ulrik Brandes, Daniel Fleischer, Thomas Puppe
CVPR
2012
IEEE
11 years 11 months ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox
ICML
2005
IEEE
14 years 9 months ago
Learning from labeled and unlabeled data on a directed graph
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Bernhard Schölkopf, Dengyong Zhou, Jiayuan Hu...