503 search results - page 7 / 101 » Entropy estimation using the principle of maximum entropy |
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
IWANN
2001
Springer
14 years 3 days ago
2001
Springer
Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion...
JMLR
2011
13 years 2 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
FUIN
2002
13 years 7 months ago
2002
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...