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» CURE: An Efficient Clustering Algorithm for Large Databases
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ACCV
2010
Springer
14 years 11 months ago
Human Detection in Video over Large Viewpoint Changes
In this paper, we aim to detect human in video over large viewpoint changes which is very challenging due to the diversity of human appearance and motion from a wide spread of view...
Genquan Duan, Haizhou Ai, Shihong Lao
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
16 years 5 months ago
Efficient Top-k Query Evaluation on Probabilistic Data
Modern enterprise applications are forced to deal with unreliable, inconsistent and imprecise information. Probabilistic databases can model such data naturally, but SQL query eva...
Christopher Re, Nilesh N. Dalvi, Dan Suciu
130
Voted
VLDB
2002
ACM
98views Database» more  VLDB 2002»
15 years 3 months ago
Processing Star Queries on Hierarchically-Clustered Fact Tables
Star queries are the most prevalent kind of queries in data warehousing, OLAP and business intelligence applications. Thus, there is an imperative need for efficiently processing ...
Nikos Karayannidis, Aris Tsois, Timos K. Sellis, R...
SSD
2005
Springer
173views Database» more  SSD 2005»
15 years 9 months ago
On Discovering Moving Clusters in Spatio-temporal Data
A moving cluster is defined by a set of objects that move close to each other for a long time interval. Real-life examples are a group of migrating animals, a convoy of cars movin...
Panos Kalnis, Nikos Mamoulis, Spiridon Bakiras
VLDB
1991
ACM
143views Database» more  VLDB 1991»
15 years 7 months ago
Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning
Shared nothing multiprocessor archit.ecture is known t.obe more scalable to support very large databases. Compared to other join strategies, a hash-ba9ed join algorithm is particu...
Kien A. Hua, Chiang Lee