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CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 8 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
CBMS
2009
IEEE
15 years 7 months ago
A medical image retrieval framework in correlation enhanced visual concept feature space
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
120
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IVC
2006
156views more  IVC 2006»
15 years 4 months ago
Image encryption using chaotic logistic map
In recent years, the chaos based cryptographic algorithms have suggested some new and efficient ways to develop secure image encryption techniques.Inthis communication,weproposea ...
Narendra K. Pareek, Vinod Patidar, Krishan K. Sud
TOG
2008
241views more  TOG 2008»
15 years 4 months ago
Single image dehazing
In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminate...
Raanan Fattal
TIP
2002
179views more  TIP 2002»
15 years 4 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki