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» Scaling Clustering Algorithms to Large Databases
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105
Voted
CIVR
2007
Springer
185views Image Analysis» more  CIVR 2007»
15 years 7 months ago
Z-grid-based probabilistic retrieval for scaling up content-based copy detection
Scalability is the key issue in making content-based copy detection (CBCD) methods practical for very large image and video databases. Since copies are transformed versions of ori...
Sébastien Poullot, Olivier Buisson, Michel ...
123
Voted
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 2 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
WWW
2003
ACM
15 years 7 months ago
The V2 Temporal Document Database System
Support for temporal text-containment queries (query for all versions of documents that contained one or more particular words at a particular time t) is of interest in a number of...
Kjetil Nørvåg
BMCBI
2004
150views more  BMCBI 2004»
15 years 1 months ago
SS-Wrapper: a package of wrapper applications for similarity searches on Linux clusters
Background: Large-scale sequence comparison is a powerful tool for biological inference in modern molecular biology. Comparing new sequences to those in annotated databases is a u...
Chunlin Wang, Elliot J. Lefkowitz
IPCCC
2006
IEEE
15 years 7 months ago
Cluster based approaches for end-to-end complete feedback collection in multicast
In this paper we study the end-to-end complete feedback collection (ECFC) problem in large scale multicast applications. We consider the case where each receiver is expected to se...
Mehmet Baysan, Kamil Saraç