555 search results - page 58 / 111 » Bayesian Compressive Sensing |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
In this paper we introduce an information theoretic approach and use techniques from the theory of Huffman codes to construct a sequence of binary sampling vectors to determine a s...
APIN
1999
13 years 7 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Solomonoff completed the Bayesian framework by providing a rigorous, unique, formal, and universal choice for the model class and the prior. We discuss in breadth how and in which...
IPMU
2010
Springer
13 years 6 months ago
2010
Springer
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
ICMCS
2010
IEEE
13 years 6 months ago
2010
IEEE
In a multiview-imaging setting, image-acquisition costs could be substantially diminished if some of the cameras operate at a reduced quality. Compressed sensing is proposed to ef...