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AUSAI
2009
Springer
14 years 2 months ago
Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
Gerhard Visser, David L. Dowe, Imants D. Svalbe
EMMCVPR
1999
Springer
13 years 12 months ago
On Fitting Mixture Models
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
Mário A. T. Figueiredo, José M. N. L...
RE
2001
Springer
14 years 2 days ago
The Single Model Principle
at different levels of abstraction. There are two very different ways of using such languages. One approach is based on the manifestation of a single model, with construction of di...
Richard F. Paige, Jonathan S. Ostroff
TIT
2011
119views more  TIT 2011»
13 years 2 months ago
Redundancy-Related Bounds for Generalized Huffman Codes
— This paper presents new lower and upper bounds for the compression rate of binary prefix codes optimized over memoryless sources according to various nonlinear codeword length...
Michael B. Baer
IJAR
2010
130views more  IJAR 2010»
13 years 6 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki