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TNN
2010
216views Management» more  TNN 2010»
14 years 11 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
ISSRE
2008
IEEE
15 years 11 months ago
Using Fault Modeling in Safety Cases
For many safety-critical systems a safety case is built as part of the certification or acceptance process. The safety case assembles evidence to justify that the design and imple...
Robyn R. Lutz, Ann Patterson-Hine
CRV
2005
IEEE
305views Robotics» more  CRV 2005»
15 years 10 months ago
3D Model-Assisted Face Recognition in Video
Face recognition in video has gained wide attention as a covert method for surveillance to enhance security in a variety of application domains (e.g., airports). A video contains ...
Unsang Park, Hong Chen, Anil K. Jain
ISSADS
2005
Springer
15 years 10 months ago
Model Fragmentation for Distributed Workflow Execution: A Petri Net Approach
Workflow is the key technology for business process automation, while distributed workflow is the solution to deal with the decentralized nature of workflow applications and the pe...
Wei Tan, Yushun Fan
ICIP
2008
IEEE
16 years 6 months ago
Complexity modeling of spatial and temporal compensations in H.264/AVC decoding
Abstract-- Complexity modeling of spatial-temporal compensations in H.264/AVC decoding is performed by examining a rich set of inter- and intra-prediction modes. Specifically, we s...
Szu-Wei Lee, C. C. Jay Kuo