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» Sublinear time approximate clustering
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AFRIGRAPH
2003
ACM
13 years 11 months ago
Efficient clustering and visibility calculation for global illumination
Using a radiosity method to estimate light inter-reflections within large scenes still remains a difficult task. The two main reasons are: (i) the computations entailed by the rad...
Daniel Meneveaux, Kadi Bouatouch, Gilles Subrenat,...
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 24 days ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
IPPS
2007
IEEE
14 years 1 months ago
Link Shutdown Opportunities During Collective Communications in 3-D Torus Nets
As modern computing clusters used in scientific computing applications scale to ever-larger sizes and capabilities, their operational energy costs have become prohibitive. While ...
S. Conner, Sayaka Akioka, Mary Jane Irwin, Padma R...
BMCBI
2008
138views more  BMCBI 2008»
13 years 7 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...
BMCBI
2010
175views more  BMCBI 2010»
13 years 7 months ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng