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» OPTICS-OF: Identifying Local Outliers
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ICML
2004
IEEE
14 years 9 months ago
A needle in a haystack: local one-class optimization
This paper addresses the problem of finding a small and coherent subset of points in a given data. This problem, sometimes referred to as one-class or set covering, requires to fi...
Koby Crammer, Gal Chechik
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
14 years 2 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
CLUSTER
2007
IEEE
14 years 2 months ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
ECCV
2010
Springer
13 years 9 months ago
Intrinsic Regularity Detection in 3D Geometry
Abstract. Automatic detection of symmetries, regularity, and repetitive structures in 3D geometry is a fundamental problem in shape analysis and pattern recognition with applicatio...
Niloy J. Mitra, Alexander M. Bronstein, Michael M....
TON
2008
121views more  TON 2008»
13 years 8 months ago
A framework for mitigating attacks against measurement-based adaptation mechanisms in unstructured multicast overlay networks
Many multicast overlay networks maintain application-specific performance goals by dynamically adapting the overlay structure when the monitored performance becomes inadequate. Thi...
Aaron Walters, David Zage, Cristina Nita-Rotaru