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» Methods for finding frequent items in data streams
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KDD
2010
ACM
253views Data Mining» more  KDD 2010»
13 years 11 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...
FCCM
2004
IEEE
130views VLSI» more  FCCM 2004»
13 years 11 months ago
Hyperreconfigurable Architectures for Fast Run Time Reconfiguration
Dynamically reconfigurable architectures or systems are able to reconfigure their function and/or structure to suit changing needs of a computation during run time. The increasing...
Sebastian Lange, Martin Middendorf
WWW
2005
ACM
14 years 8 months ago
Sampling search-engine results
We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
Aris Anagnostopoulos, Andrei Z. Broder, David Carm...
BMCBI
2010
202views more  BMCBI 2010»
13 years 7 months ago
NeMo: Network Module identification in Cytoscape
Background: As the size of the known human interactome grows, biologists increasingly rely on computational tools to identify patterns that represent protein complexes and pathway...
Corban G. Rivera, Rachit Vakil, Joel S. Bader
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 9 months ago
(Un)Reliability of video concept detection
Great effort has been made to improve video concept detection and continuous progress has been reported. With the current evaluation method being confined to carefully annotated d...
Jun Yang 0003, Alexander G. Hauptmann