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» Unsupervised Texture Segmentation
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ISBI
2008
IEEE
14 years 9 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith
ICIP
2004
IEEE
14 years 10 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
EMMCVPR
2001
Springer
14 years 1 months ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura
CIKM
2009
Springer
14 years 3 months ago
Text segmentation via topic modeling: an analytical study
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
Hemant Misra, François Yvon, Joemon M. Jose...
CIKM
2006
Springer
14 years 25 days ago
Multi-task text segmentation and alignment based on weighted mutual information
Text segmentation is important for text analysis, while text alignment is to determine shared sub-topics among similar documents. Multi-task text segmentation and alignment is the...
Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen