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» High Performance Data Mining Using the Nearest Neighbor Join
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SIGMOD
2000
ACM
173views Database» more  SIGMOD 2000»
13 years 11 months ago
Efficient Algorithms for Mining Outliers from Large Data Sets
In this paper, we propose a novel formulation for distance-based outliers that is based on the distance of a point from its kth nearest neighbor. We rank each point on the basis o...
Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim
ICCV
2007
IEEE
14 years 9 months ago
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis
ICDM
2007
IEEE
156views Data Mining» more  ICDM 2007»
13 years 11 months ago
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors
This paper addresses the task of change analysis of correlated multi-sensor systems. The goal of change analysis is to compute the anomaly score of each sensor when we know that t...
Tsuyoshi Idé, Spiros Papadimitriou, Michail...
CIKM
2003
Springer
14 years 20 days ago
High dimensional reverse nearest neighbor queries
Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, docum...
Amit Singh, Hakan Ferhatosmanoglu, Ali Saman Tosun
ICRA
2009
IEEE
123views Robotics» more  ICRA 2009»
14 years 2 months ago
Realtime segmentation of range data using continuous nearest neighbors
— In mobile robotics, the segmentation of range data is an important prerequisite to object recognition and environment understanding. This paper presents an algorithm for realti...
Klaas Klasing, Dirk Wollherr, Martin Buss