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» Spectral Methods for Automatic Multiscale Data Clustering
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BMCBI
2008
121views more  BMCBI 2008»
13 years 8 months ago
Modularization of biochemical networks based on classification of Petri net t-invariants
Background: Structural analysis of biochemical networks is a growing field in bioinformatics and systems biology. The availability of an increasing amount of biological data from ...
Eva Grafahrend-Belau, Falk Schreiber, Monika Heine...
NIPS
2003
13 years 9 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
JMLR
2006
80views more  JMLR 2006»
13 years 7 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
BMCBI
2011
12 years 11 months ago
Smith-Waterman Peak Alignment for Comprehensive Two-dimensional Gas Chromatography Mass Spectrometry
Background: Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC × GCMS) is a powerful technique which has gained increasing attention over the las...
Seongho Kim, Imhoi Koo, Aiqin Fang, Xiang Zhang
CVPR
2008
IEEE
14 years 10 months ago
Learning class-specific affinities for image labelling
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...
Dhruv Batra, Rahul Sukthankar, Tsuhan Chen