Boosting-based Transductive Learning for Text Detection

I
ICDAR
2005
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Abstract - Boosting-based Transductive Learning for Text Detection

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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)

Seoul, Korea

August 31-September 01

ISBN: 0-7695-2420-6

	ASCII Text	x
	David Bargeron, Paul Viola, Patrice Simard, "Boosting-based Transductive Learning for Text Detection," Document Analysis and Recognition, International Conference on, pp. 1166-1171, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.

	BibTex	x
	@article{ 10.1109/ICDAR.2005.59, author = {David Bargeron and Paul Viola and Patrice Simard}, title = {Boosting-based Transductive Learning for Text Detection}, journal ={Document Analysis and Recognition, International Conference on}, volume = {0}, year = {2005}, issn = {1520-5263}, pages = {1166-1171}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.59}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Document Analysis and Recognition, International Conference on TI - Boosting-based Transductive Learning for Text Detection SN - 1520-5263 SP1166 EP1171 A1 - David Bargeron, A1 - Paul Viola, A1 - Patrice Simard, PY - 2005 KW - null VL - 0 JA - Document Analysis and Recognition, International Conference on ER -

David Bargeron, Microsoft Research, WA

Paul Viola, Microsoft Research, WA

Patrice Simard, Microsoft Research, WA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.59

We present a promising new framework for improving boosting performance with transductive inference when training an automatic text detector. The resulting detector is fast and efficient, and it exhibits high accuracy on a large test set.

Citation:

David Bargeron, Paul Viola, Patrice Simard, "Boosting-based Transductive Learning for Text Detection," icdar, pp.1166-1171, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005

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