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ICIP
1999
IEEE
14 years 9 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, o...
Mário A. T. Figueiredo, Robert D. Nowak
ICPR
2010
IEEE
13 years 7 months ago
Adaptive Incremental Learning with an Ensemble of Support Vector Machines
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
VISUAL
2005
Springer
14 years 25 days ago
Unsupervised Color Film Restoration Using Adaptive Color Equalization
Chemical processing of celluloid based cinematic film, becomes unstable with time, unless they are stored at low temperatures. Some defects, such as bleaching on color movies, are ...
Alessandro Rizzi, Carlo Gatta, C. Slanzi, Gianluig...
NAACL
2003
13 years 8 months ago
Supervised and unsupervised PCFG adaptation to novel domains
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...
Brian Roark, Michiel Bacchiani
ICPR
2002
IEEE
14 years 9 days ago
Tree Pruning for Output Coded Ensembles
Output Coding is a method of converting a multiclass problem into several binary subproblems and gives an ensemble of binary classifiers. Like other ensemble methods, its perform...
Terry Windeatt, Gholamreza Ardeshir