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» Entropy estimation using the principle of maximum entropy
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ACL
2009
13 years 5 months ago
Paraphrase Recognition Using Machine Learning to Combine Similarity Measures
This paper presents three methods that can be used to recognize paraphrases. They all employ string similarity measures apshallow abstractions of the input sentences, and a Maximu...
Prodromos Malakasiotis
ICIP
2008
IEEE
14 years 9 months ago
Motion estimation with entropy coding considerations in H.264/AVC
In many modern video encoders, motion estimation is usually formulated as a Lagrangian cost function that balances motion prediction accuracy and the rate to transmit motion vecto...
Zhen Li, Alexis Michael Tourapis
SCALESPACE
2007
Springer
14 years 1 months ago
Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions
This paper deals with video segmentation based on motion and spatial information. Classically, the nucleus of the motion term is the motion compensation error (MCE) between two con...
Ariane Herbulot, Sylvain Boltz, Eric Debreuve, Mic...
PRL
2006
92views more  PRL 2006»
13 years 7 months ago
A Bayes-spectral-entropy-based measure of camera focus using a discrete cosine transform
In this paper we present a novel measure of camera focus based on the Bayes spectral entropy of an image spectrum. In order to estimate the degree of focus, the image is divided i...
Matej Kristan, Janez Pers, Matej Perse, Stanislav ...
CDC
2009
IEEE
128views Control Systems» more  CDC 2009»
13 years 11 months ago
The entropy penalized minimum energy estimator
This paper addresses the state estimation problem of nonlinear systems. We formulate the problem using a minimum energy estimator (MEE) approach and propose an entropy penalized sc...
Sergio Daniel Pequito, A. Pedro Aguiar, Diogo A. G...