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» Anomaly Detection Using an Ensemble of Feature Models
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CEAS
2008
Springer
13 years 9 months ago
Improved Phishing Detection using Model-Based Features
Phishing emails are a real threat to internet communication and web economy. Criminals are trying to convince unsuspecting online users to reveal passwords, account numbers, socia...
André Bergholz, Jeong Ho Chang, Gerhard Paa...
PAMI
2006
193views more  PAMI 2006»
13 years 7 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
ICIP
2003
IEEE
14 years 9 months ago
Image features that draw fixations
The ability to automatically detect `visually interesting' regions in an image has many practical applications especially in the design of active machine vision systems. This...
Umesh Rajashekar, Lawrence K. Cormack, Alan C. Bov...
ICMI
2009
Springer
162views Biometrics» more  ICMI 2009»
14 years 2 months ago
Multi-modal features for real-time detection of human-robot interaction categories
Social interactions unfold over time, at multiple time scales, and can be observed through multiple sensory modalities. In this paper, we propose a machine learning framework for ...
Ian R. Fasel, Masahiro Shiomi, Pilippe-Emmanuel Ch...
CIVR
2004
Springer
186views Image Analysis» more  CIVR 2004»
13 years 11 months ago
Video Segmentation Using Hidden Markov Model with Multimodal Features
In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio a...
Tae Meon Bae, Sung Ho Jin, Yong Man Ro