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» Outlier Detection Using Random Walks
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ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
14 years 4 months ago
Parallel Algorithms for Distance-Based and Density-Based Outliers
An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
Elio Lozano, Edgar Acuña
CVPR
2012
IEEE
12 years 1 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
ICIP
2010
IEEE
13 years 8 months ago
Detecting pitching frames in baseball game video using Markov random walk
Pitching is the starting point of an event in baseball games. Hence, locating pitching shots is a critical step in content analysis of a baseball game video. However, pitching fra...
Chih-Yi Chiu, Po-Chih Lin, Wei-Ming Chang, Hsin-Mi...
ICASSP
2010
IEEE
13 years 11 months ago
Bridge detection and robust geodesics estimation via random walks
We propose an algorithm for detecting bridges and estimating geodesic distances from a set of noisy samples of an underlying manifold. Finding geodesics on a nearest neighbors gra...
Eugene Brevdo, Peter J. Ramadge
ISPDC
2008
IEEE
14 years 5 months ago
Token Loss Detection for Random Walk based Algorithm
Self-stabilizing token circulation algorithms are not always adapted for dynamic networks. Random walks are well known to play a crucial role in the design of randomized algorithm...
Thibault Bernard, Alain Bui, Devan Sohier