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114
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ECML
2004
Springer
15 years 6 months ago
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering
This work presents a novel procedure for computing (1) distances between nodes of a weighted, undirected, graph, called the Euclidean Commute Time Distance (ECTD), and (2) a subspa...
Marco Saerens, François Fouss, Luh Yen, Pie...
93
Voted
BMCBI
2010
146views more  BMCBI 2010»
15 years 22 days ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
MICCAI
2008
Springer
16 years 1 months ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum
43
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Multiple fundamental frequency estimation using Gaussian smoothness
A multiple fundamental frequency estimator is presented in this work. At each time frame, a set of fundamental frequencies is found in a frame by frame analysis taking into accoun...
Antonio Pertusa, José Manuel Iñesta ...
127
Voted
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
15 years 2 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...