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» Level set image segmentation with Bayesian analysis
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ICIP
2010
IEEE
15 years 1 months ago
Pyramidal segmentation using higher-order local auto-correlations and its applications to Landsat forestry data
The goal of image segmentation is to partition an image into regions that are internally homogeneous and heterogeneous with respect to neighbouring regions. Recently, a link shifti...
Milos Stojmenovic, Takumi Kobayashi, Nobuyuki Otsu
131
Voted
ISBI
2008
IEEE
16 years 4 months ago
Bayesian non local means-based speckle filtering
In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL) Means filter adapted for US...
Charles Kervrann, Christian Barillot, Pierre Helli...
ISNN
2007
Springer
15 years 9 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
BMCBI
2010
97views more  BMCBI 2010»
14 years 10 months ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...
104
Voted
ICDAR
2003
IEEE
15 years 8 months ago
Image Segmentation By Learning Approach
This article describes a new segmentation by thresholding approach based on learning. The method consists in learning to threshold correctly submitting both an image and its ideal...
Horacio Andrés Legal-Ayala, Jacques Facon