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ECML
2006
Springer
15 years 1 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
BMCBI
2005
120views more  BMCBI 2005»
14 years 9 months ago
SpectralNET - an application for spectral graph analysis and visualization
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
PICS
2003
14 years 11 months ago
Illuminant Influence on the Reconstruction of NIR Spectra
In order to recover spectral reflectances or transmittances using a multispectral imaging based technique, it is necessary to know the spectral radiance of the illuminant used to ...
Meritxell Vilaseca, Jaume Pujol, Montserrat Arjona...
JEI
2007
90views more  JEI 2007»
14 years 9 months ago
Accelerating spectral-based color separation within the Neugebauer subspace
Spectral separation is the process of obtaining printer control values to reproduce a given spectral reflectance. Given a multispectral image where each pixel represents a spectra...
Philipp Urban, Mitchell R. Rosen, Roy S. Berns
ICASSP
2011
IEEE
14 years 1 months ago
Objective evaluation of the Dynamic Model Selection method for spectral voice conversion
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Pierre Lanchantin, Xavier Rodet