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CVPR
2005
IEEE
14 years 10 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
ICC
2009
IEEE
109views Communications» more  ICC 2009»
14 years 2 months ago
Measurement-Based Modeling of Vehicle-to-Vehicle MIMO Channels
— Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems...
Johan Karedal, Fredrik Tufvesson, Nicolai Czink, A...
ISSTA
2009
ACM
14 years 2 months ago
Specifying the worst case: orthogonal modeling of hardware errors
During testing, the execution of valid cases is only one part of the task. Checking the behavior in boundary situations and in the presence of errors is an equally important subje...
Jewgenij Botaschanjan, Benjamin Hummel
QUESTA
1998
93views more  QUESTA 1998»
13 years 7 months ago
An approximation method for complete solutions of Markov-modulated fluid models
This paper presents an approximation method for numerically solving general Markov modulated fluid models which are widely used in modelling communications and computer systems. ...
David D. McDonald, Kun Qian
IJSE
2010
138views more  IJSE 2010»
13 years 5 months ago
Modeling the Experience of Emotion
Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers resulting in work that is widely published. The majori...
Joost Broekens