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» Spectral Techniques in Graph Algorithms
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IGARSS
2009
13 years 7 months ago
Unmixing Sparse Hyperspectral Mixtures
Finding an accurate sparse approximation of a spectral vector described by a linear model, when there is available a library of possible constituent signals (called endmembers or ...
Marian-Daniel Iordache, José M. Bioucas-Dia...
CVPR
2005
IEEE
15 years 2 days ago
Beyond Pairwise Clustering
We consider the problem of clustering in domains where the affinity relations are not dyadic (pairwise), but rather triadic, tetradic or higher. The problem is an instance of the ...
Sameer Agarwal, Jongwoo Lim, Lihi Zelnik-Manor, Pi...
BMCBI
2010
151views more  BMCBI 2010»
13 years 10 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
BMCBI
2007
155views more  BMCBI 2007»
13 years 10 months ago
ProMEX: a mass spectral reference database for proteins and protein phosphorylation sites
Background: In the last decade, techniques were established for the large scale genome-wide analysis of proteins, RNA, and metabolites, and database solutions have been developed ...
Jan Hummel, Michaela Niemann, Stefanie Wienkoop, W...
CAISE
1999
Springer
14 years 2 months ago
Applying Graph Reduction Techniques for Identifying Structural Conflicts in Process Models
Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Wasim Sadiq, Maria E. Orlowska