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VISAPP
2010
14 years 7 months ago
Inverse Problems in Imaging and Computer Vision - From Regularization Theory to Bayesian Inference
phies are also mentioned and a common mathematical abstraction for all these inverses problems will be presented. By focusing on a simple linear forward model, first a synthetic an...
Ali Mohammad-Djafari
EMNETS
2007
15 years 1 months ago
An HMM framework for optimal sensor selection with applications to BSN sensor glove design
Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
14 years 11 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
ICML
2005
IEEE
15 years 10 months ago
Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
Sylvain Calinon, Aude Billard
IJCAI
2003
14 years 11 months ago
Where is ...? Learning and Utilizing Motion Patterns of Persons with Mobile Robots
Whenever people move through their environments they do not move randomly. Instead, they usually follow specific trajectories or motion patterns corresponding to their intentions....
Grzegorz Cielniak, Maren Bennewitz, Wolfram Burgar...