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ICCV
1999
IEEE
13 years 12 months ago
Bayesian Structure from Motion
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...
David A. Forsyth, Sergey Ioffe, John A. Haddon
CDC
2009
IEEE
121views Control Systems» more  CDC 2009»
13 years 5 months ago
Robust entrainment to natural oscillations of asymmetric systems arising from animal locomotion
We consider a class of linear flexible mechanical systems arising from the dynamics of animal locomotion. A distinctive property of such systems is that the stiffness matrix is asy...
Zhiyong Chen, Tetsuya Iwasaki
FGR
2002
IEEE
193views Biometrics» more  FGR 2002»
14 years 19 days ago
Face Recognition from Video: A CONDENSATION Approach
The aim of this work is to investigate how to exploit the temporal information in a video sequence for the task of face recognition. Following the approach in [11], we propose a p...
Shaohua Kevin Zhou, Volker Krüger, Rama Chell...
CJ
1998
63views more  CJ 1998»
13 years 7 months ago
Protecting IT Systems from Cyber Crime
Large-scale commercial, industrial and financial operations are becoming ever more interdependent, and ever more dependent on IT. At the same time, the rapidly growing interconnec...
R. Benjamin, B. Gladman, Brian Randell
ICONIP
2009
13 years 5 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa