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ACMSE
2005
ACM
16 years 9 days ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
MIR
2003
ACM
391views Multimedia» more  MIR 2003»
15 years 12 months ago
Generic sign board detection in images
Sign board detection is important for such computer vision applications as video surveillance and content based visual information retrieval. Previous researches on this topic foc...
Hua Shen, Xiaoou Tang
AMCS
2008
146views Mathematics» more  AMCS 2008»
15 years 6 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...
JMM2
2007
127views more  JMM2 2007»
15 years 6 months ago
The Cut Detection Issue in the Animation Movie Domain
— In this paper we are proposing an improved cut detection algorithm adapted to the animation movies domain. A cut is the direct concatenation of two different shots and produces...
Bogdan Ionescu, Patrick Lambert, Didier Coquin, Va...
KAIS
2007
120views more  KAIS 2007»
15 years 6 months ago
Capabilities of outlier detection schemes in large datasets, framework and methodologies
Abstract. Outlier detection is concerned with discovering exceptional behaviors of objects. Its theoretical principle and practical implementation lay a foundation for some importa...
Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David W...