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» Computing Distance Histograms Efficiently in Scientific Data...
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KDD
2006
ACM
142views Data Mining» more  KDD 2006»
16 years 24 days ago
Mining distance-based outliers from large databases in any metric space
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
Yufei Tao, Xiaokui Xiao, Shuigeng Zhou
BTW
2007
Springer
183views Database» more  BTW 2007»
15 years 4 months ago
Efficient Reverse k-Nearest Neighbor Estimation
: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, has received increasing a...
Elke Achtert, Christian Böhm, Peer Kröge...
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PAMI
2008
208views more  PAMI 2008»
15 years 10 days ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
JDCTA
2010
171views more  JDCTA 2010»
14 years 7 months ago
Computer Interaction System using Hand Posture Identification
Natural and friendly interface is critical for the development of service robots. Gesture-based interface offers a way to enable untrained users to interact with robots more easil...
Sushma D. Ghode, S. A. Chhabria, R. V. Dharaskar
ICDE
2009
IEEE
168views Database» more  ICDE 2009»
14 years 10 months ago
An Economic Model for Self-Tuned Cloud Caching
Abstract--Cloud computing, the new trend for service infrastructures requires user multi-tenancy as well as minimal capital expenditure. In a cloud that services large amounts of d...
Debabrata Dash, Verena Kantere, Anastasia Ailamaki