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» On Finding Large Conjunctive Clusters
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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
SIGCOMM
2010
ACM
13 years 7 months ago
Data center TCP (DCTCP)
Cloud data centers host diverse applications, mixing workloads that require small predictable latency with others requiring large sustained throughput. In this environment, today&...
Mohammad Alizadeh, Albert G. Greenberg, David A. M...
BMCBI
2010
101views more  BMCBI 2010»
13 years 7 months ago
Enrichment of homologs in insignificant BLAST hits by co-complex network alignment
Background: Homology is a crucial concept in comparative genomics. The algorithm probably most widely used for homology detection in comparative genomics, is BLAST. Usually a stri...
Like Fokkens, Sandra M. C. Botelho, Jos Boekhorst,...
BMCBI
2008
187views more  BMCBI 2008»
13 years 7 months ago
PSAT: A web tool to compare genomic neighborhoods of multiple prokaryotic genomes
Background: The conservation of gene order among prokaryotic genomes can provide valuable insight into gene function, protein interactions, or events by which genomes have evolved...
Christine Fong, Laurence Rohmer, Matthew Radey, Mi...
CVPR
2008
IEEE
14 years 9 months ago
Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration
Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph. Spectral graph theory can be used to...
Diana Mateus, Radu Horaud, David Knossow, Fabio Cu...