Sciweavers

503 search results - page 9 / 101
» Entropy estimation using the principle of maximum entropy
Sort
View
IPMI
2007
Springer
14 years 8 months ago
High-Dimensional Entropy Estimation for Finite Accuracy Data: R-NN Entropy Estimator
Abstract. We address the problem of entropy estimation for highdimensional finite-accuracy data. Our main application is evaluating high-order mutual information image similarity c...
Jan Kybic
CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
14 years 1 months ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
ICPR
2008
IEEE
14 years 2 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
CICLING
2003
Springer
14 years 27 days ago
A Maximum Entropy Approach for Spoken Chinese Understanding
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...
Guodong Xie, Chengqing Zong, Bo Xu
VIP
2001
13 years 9 months ago
A Hierarchical Approach in Multilevel Thresholding Based on Maximum Entropy and Bayes' Formula
An efficient hierarchical approach for image multi-level thresholding is proposed based on the maximum entropy principle and Bayes' formula, in which no assumptions of the im...
Yan Chang, Alan M. N. Fu, Hong Yan