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» Computing Distance Histograms Efficiently in Scientific Data...
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KDD
2006
ACM
142views Data Mining» more  KDD 2006»
14 years 9 months 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»
14 years 1 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...
PAMI
2008
208views more  PAMI 2008»
13 years 9 months 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»
13 years 3 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»
13 years 6 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