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» Computing large matchings fast
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214
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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 7 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
CVPR
2008
IEEE
16 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...
WWW
2009
ACM
16 years 7 months ago
Bid optimization for broad match ad auctions
Ad auctions in sponsored search support"broad match"that allows an advertiser to target a large number of queries while bidding only on a limited number. While giving mo...
Eyal Even-Dar, Vahab S. Mirrokni, S. Muthukrishnan...
BMCBI
2010
126views more  BMCBI 2010»
15 years 7 months ago
Cgaln: fast and space-efficient whole-genome alignment
Background: Whole-genome sequence alignment is an essential process for extracting valuable information about the functions, evolution, and peculiarities of genomes under investig...
Ryuichiro Nakato, Osamu Gotoh
200
Voted
ECCV
2002
Springer
16 years 8 months ago
Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"
There has been considerable success in automated reconstruction for image sequences where small baseline algorithms can be used to establish matches across a number of images. In c...
Frederik Schaffalitzky, Andrew Zisserman