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» Activity Modeling Using Event Probability Sequences
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158
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AAAI
2011
14 years 2 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
152
Voted
CAIP
2009
Springer
221views Image Analysis» more  CAIP 2009»
15 years 9 months ago
Model Based Analysis of Face Images for Facial Feature Extraction
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
Zahid Riaz, Christoph Mayer, Michael Beetz, Bernd ...
111
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ICIP
2001
IEEE
16 years 4 months ago
Adaptive video background modeling using color and depth
Copyright 2001 IEEE. Published in the 2001 International Conference on Image Processing (ICIP-2001), October 7-10, 2001, Thessaloniki, Greece. Personal use of this material is per...
Gaile G. Gordon, John Woodfill, Michael Harville
ICCS
2007
Springer
15 years 9 months ago
Building a Dynamic Data Driven Application System for Hurricane Forecasting
The Louisiana Coastal Area presents an array of rich and urgent scientific problems that require new computational approaches. These problems are interconnected with common compon...
Gabrielle Allen
147
Voted
PAMI
2011
14 years 9 months ago
Multiperson Visual Focus of Attention from Head Pose and Meeting Contextual Cues
—This paper introduces a novel contextual model for the recognition of people’s visual focus of attention (VFOA) in meetings from audio-visual perceptual cues. More specificall...
Sileye O. Ba, Jean-Marc Odobez