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» Unsupervised Image Layout Extraction
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ICIP
2006
IEEE
14 years 6 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
CVPR
2009
IEEE
13 years 8 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
ICDAR
2007
IEEE
13 years 11 months ago
Simultaneous Layout Style and Logical Entity Recognition in a Heterogeneous Collection of Documents
Logical entity recognition in heterogeneous collections of document page images remains a challenging problem since the performance of traditional supervised methods degrade drama...
S. Chen, S. Mao, G. Thoma
ICPR
2002
IEEE
14 years 5 months ago
Learning and Extracting Edges from Images by a Modified Hopfield Neural Network
This paper introduced a modified unsupervised Hopfield network that can learn the underlying process in an edge detection task from grey level images. After the learning phase, th...
Sylvain Chartier, Richard Lepage