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SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 9 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
CLUSTER
2002
IEEE
14 years 2 months ago
Supermon: A High-Speed Cluster Monitoring System
Supermon is a flexible set of tools for high speed, scalable cluster monitoring. Node behavior can be monitored much faster than with other commonly used methods (e.g., rstatd). ...
Matthew J. Sottile, Ronald Minnich
JMLR
2006
108views more  JMLR 2006»
13 years 9 months ago
Learning Spectral Clustering, With Application To Speech Separation
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
Francis R. Bach, Michael I. Jordan
ICCV
2005
IEEE
14 years 11 months ago
Creating Efficient Codebooks for Visual Recognition
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics for texture analysis and...
Bill Triggs, Frédéric Jurie
ICIP
2001
IEEE
14 years 10 months ago
Video similarity detection with video signature clustering
The proliferation of video content on the web makes similarity detection an indispensable tool in web data management, searching, and navigation. We have previously proposed a com...
Sen-Ching S. Cheung, Avideh Zakhor