Boosting-based transductive learning for text detection

被引：7

作者：

Bargeron, D ^{[1
]}

Viola, P ^{[1
]}

Simard, P ^{[1
]}

机构：

[1] Microsoft Res, Redmond, WA 98052 USA

来源：

EIGHTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, PROCEEDINGS | 2005年

关键词：

D O I：

10.1109/ICDAR.2005.59

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1166 / 1171

页数：6

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