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» Spectral Techniques in Graph Algorithms
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DILS
2008
Springer
13 years 12 months ago
Semi Supervised Spectral Clustering for Regulatory Module Discovery
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
Alok Mishra, Duncan Gillies
MVA
1998
230views Computer Vision» more  MVA 1998»
13 years 11 months ago
An Efficient Matching Algorithm for Segment-Based Stereo Vision Using Dynamic Programming Technique
An efficient matching method for segment-based stereo vision is proposed. A potential matching graph which describes the connectivity between candidate matching pairs of segments ...
Toshio Ueshiba, Yoshihiro Kawai, Yasushi Sumi, Fum...
MVA
2007
159views Computer Vision» more  MVA 2007»
13 years 11 months ago
Action Recognition of Insects Using Spectral Clustering
We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of ...
Maryam Moslemi Naeini, Greg Dutton, Kristina Rothl...
BMCBI
2010
146views more  BMCBI 2010»
13 years 10 months 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
ISAAC
2007
Springer
109views Algorithms» more  ISAAC 2007»
14 years 4 months ago
Separating Populations with Wide Data: A Spectral Analysis
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
Avrim Blum, Amin Coja-Oghlan, Alan M. Frieze, Shuh...