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IDA
2007
Springer
13 years 10 months ago
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...
Jaakko Hollmén, Jarkko Tikka
CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 4 months ago
MDL Convergence Speed for Bernoulli Sequences
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Jan Poland, Marcus Hutter
ICPR
2008
IEEE
14 years 5 months ago
Describing texture directions with Von Mises distributions
In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions ...
Costantino Grana, Daniele Borghesani, Rita Cucchia...
SSD
2007
Springer
124views Database» more  SSD 2007»
13 years 10 months ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
ICASSP
2010
IEEE
13 years 3 months ago
Exploring statistical properties for semantic annotation: sparse distributed and convergent assumptions for keywords
Does there exist a compact set of visual topics in form of keyword clusters capable to represent all images visual content within an acceptable error? In this paper, we answer thi...
Xianming Liu, Hongxun Yao, Rongrong Ji