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» Associative Classifiers for Medical Images
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KDD
2004
ACM
216views Data Mining» more  KDD 2004»
14 years 9 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
14 years 1 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
IBPRIA
2007
Springer
14 years 3 months ago
Three-Dimensional Ultrasonic Assessment of Atherosclerotic Plaques
Carotid atherosclerosis is the most common life-threatening neurological disease and therefore an accurate assessment of atheromatous plaques is clinically important. Several studi...
José Seabra, João Sanches, Luí...
IVC
2008
141views more  IVC 2008»
13 years 8 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
JGS
2002
78views more  JGS 2002»
13 years 8 months ago
Emerging and vector-borne diseases: Role of high spatial resolution and hyperspectral images in analyses and forecasts
Many infectious diseases that are emerging or transmitted by arthropod vectors have a strong link to landscape features. Depending on the source of infection or ecology of the tran...
Mark L. Wilson