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CVPR
2005
IEEE
16 years 1 months ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
ISBI
2006
IEEE
16 years 17 days ago
Joint detection-estimation of brain activity in fMRI using an autoregressive noise model
Different approaches have been considered so far to cope with the temporal correlation of fMRI data for brain activity detection. However, it has been reported that modeling this ...
Jérôme Idier, Jean-Baptiste Poline, P...
RAID
2004
Springer
15 years 5 months ago
Anomaly Detection Using Layered Networks Based on Eigen Co-occurrence Matrix
Anomaly detection is a promising approach to detecting intruders masquerading as valid users (called masqueraders). It creates a user profile and labels any behavior that deviates...
Mizuki Oka, Yoshihiro Oyama, Hirotake Abe, Kazuhik...
ICDCSW
2008
IEEE
15 years 6 months ago
Modeling Attack Behaviors in Rating Systems
Abstract— Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such systems has been recognized as an important problem and many unfair rat...
Qinyuan Feng, Yafei Yang, Yan Lindsay Sun, Yafei D...
IEICET
2010
113views more  IEICET 2010»
14 years 10 months ago
Probabilistic BPRRC: Robust Change Detection against Illumination Changes and Background Movements
This paper presents PrBPRRC (Probabilistic Bipolar Radial Reach Correlation), a change detection method that is robust against illumination changes and background movements. Most ...
Kentaro Yokoi