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ICIP
1999
IEEE

Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria

10 years 4 months ago
Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria
This paper describes novel methods for estimating piecewise homogeneous Poisson elds based on minimum description length (MDL) criteria. By adopting a coding-theoretic approach, our methods are able to adapt to the the observed eld in an unsupervised manner. We present a parsing scheme based on xed multiscale trees (binary, for 1D, quad, for 2D) and an adaptive recursive partioning algorithm, both guided by MDL criteria. Experiments show that the recursive scheme outperforms the xed tree approaches.
Mário A. T. Figueiredo, Robert D. Nowak
Added 25 Oct 2009
Updated 26 Oct 2009
Type Conference
Year 1999
Where ICIP
Authors Mário A. T. Figueiredo, Robert D. Nowak
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