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NIPS
2007
14 years 11 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
TIP
2010
170views more  TIP 2010»
14 years 4 months ago
Tracking and Activity Recognition Through Consensus in Distributed Camera Networks
Camera networks are being deployed for various applications like security and surveillance, disaster response and environmental modeling. However, there is little automated process...
Bi Song, Ahmed T. Kamal, Cristian Soto, Chong Ding...
BSN
2009
IEEE
106views Sensor Networks» more  BSN 2009»
15 years 2 months ago
Transitional Activity Recognition with Manifold Embedding
— Activity monitoring is an important part of pervasive sensing, particularly for assessing activities of daily living for elderly patients and those with chronic diseases. Previ...
Raza Ali, Louis Atallah, Benny P. L. Lo, Guang-Zho...
AAAI
2004
14 years 11 months ago
Identifying Terrorist Activity with AI Plan Recognition Technology
We describe the application of plan recognition techniques to support human intelligence analysts in processing national security alert sets by automatically identifying the hosti...
Peter Jarvis, Teresa F. Lunt, Karen L. Myers
ECCV
1998
Springer
15 years 11 months ago
Face Recognition Using Active Appearance Models
Gareth J. Edwards, Timothy F. Cootes, Christopher ...