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» Outlier Detection Using Random Walks
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ICDM
2005
IEEE
187views Data Mining» more  ICDM 2005»
15 years 6 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
13 years 3 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
89
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ICIP
2010
IEEE
14 years 10 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
15 years 22 days 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
15 years 7 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