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» Unsupervised Image Layout Extraction
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ICIP
2006
IEEE
14 years 7 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 9 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
14 years 3 days 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 6 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