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» OPTICS-OF: Identifying Local Outliers
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ICML
2004
IEEE
15 years 10 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
89
Voted
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
15 years 3 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
15 years 3 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
14 years 10 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»
14 years 9 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