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» Combining Multiple Clustering Systems
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CASC
2010
Springer
153views Mathematics» more  CASC 2010»
13 years 6 months ago
Implementing Data Parallel Rational Multiple-Residue Arithmetic in Eden
Abstract. Residue systems present a well-known way to reduce computation cost for symbolic computation. However most residue systems are implemented for integers or polynomials. Th...
Oleg Lobachev, Rita Loogen
BMCBI
2010
104views more  BMCBI 2010»
13 years 5 months ago
A systematic study of genome context methods: calibration, normalization and combination
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
Luciana Ferrer, Joseph M. Dale, Peter D. Karp
ICASSP
2010
IEEE
13 years 10 months ago
Clustering disjoint subspaces via sparse representation
Given a set of data points drawn from multiple low-dimensional linear subspaces of a high-dimensional space, we consider the problem of clustering these points according to the su...
Ehsan Elhamifar, René Vidal
EUROSYS
2007
ACM
14 years 7 months ago
Dryad: distributed data-parallel programs from sequential building blocks
Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel applications. A Dryad application combines computational “vertices” with communication ...
Michael Isard, Mihai Budiu, Yuan Yu, Andrew Birrel...
ICCV
2007
IEEE
14 years 4 months ago
Multispectral Imaging Using Multiplexed Illumination
Many vision tasks such as scene segmentation, or the recognition of materials within a scene, become considerably easier when it is possible to measure the spectral reflectance o...
Jong-Il Park, Moon-Hyun Lee, Michael D. Grossberg,...