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» Advances in Component Based Face Detection
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CVPR
2004
IEEE
14 years 9 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
CN
1999
115views more  CN 1999»
13 years 7 months ago
A large scale distributed intrusion detection framework based on attack strategy analysis
To appropriately address the problem of large-scale distributed intrusion assessment/detection, issues such as information exchange, work division and coordination amongst various...
Ming-Yuh Huang, Robert J. Jasper, Thomas M. Wicks
WACV
2007
IEEE
14 years 1 months ago
On Channel Reliability Measure Training for Multi-Camera Face Recognition
Single-camera face recognition has severe limitations when the subject is not cooperative, or there are pose changes and different illumination conditions. Face recognition using ...
Binglong Xie, Visvanathan Ramesh, Ying Zhu, Terran...
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 8 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
ICRA
2005
IEEE
100views Robotics» more  ICRA 2005»
14 years 29 days ago
Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms
— Image gradient-based feature detectors offer great advantages over their standard edge-only equivalents. In driver support systems research, the radial symmetry detection algor...
Nick Barnes