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ICPR
2004
IEEE
15 years 10 months ago
Outlier Detection Using k-Nearest Neighbour Graph
We present an Outlier Detection using Indegree Number (ODIN) algorithm that utilizes k-nearest neighbour graph. Improvements to existing kNN distance -based method are also propos...
Ismo Kärkkäinen, Pasi Fränti, Ville...
APPML
2006
71views more  APPML 2006»
14 years 9 months ago
Distance distribution of nodes in star graphs
The purpose of the paper is to provide an answer to a long standing problem to compute the distance distribution among the nodes in a star graph, i.e., to compute the exact number...
L. Wang, S. Subramanian, Shahram Latifi, Pradip K....
181
Voted
GIS
2006
ACM
15 years 10 months ago
Distance join queries on spatial networks
The result of a distance join operation on two sets of objects R, S on a spatial network G is a set P of object pairs <p, q>, p R, q S such that the distance of an object ...
Jagan Sankaranarayanan, Houman Alborzi, Hanan Same...
106
Voted
PKDD
2010
Springer
194views Data Mining» more  PKDD 2010»
14 years 7 months ago
Weighted Symbols-Based Edit Distance for String-Structured Image Classification
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
Cécile Barat, Christophe Ducottet, É...
INFOCOM
2009
IEEE
15 years 4 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if...
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston