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» A Statistical Learning Approach To Document Image Analysis
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ICPR
2004
IEEE
16 years 27 days ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
ICDAR
2005
IEEE
15 years 5 months ago
Multi-scale Techniques for Document Page Segmentation
Page segmentation algorithms found in published literatures often rely on some predetermined parameters such as general font sizes, distances between text lines and document scan ...
Zhixin Shi, Venu Govindaraju
ICDAR
2009
IEEE
15 years 6 months ago
Automated Ground Truth Data Generation for Newspaper Document Images
In document image understanding, public datasets with ground-truth are an important part of scientific work. They are not only helpful for developing new methods, but also provid...
Thomas Strecker, Joost van Beusekom, Sahin Albayra...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 3 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
ICDAR
2009
IEEE
15 years 6 months ago
Keyword Spotting in Document Images through Word Shape Coding
With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character Recognition (OCR) ...
Shuyong Bai, Linlin Li, Chew Lim Tan