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» Can Document Selection Help Semi-supervised Learning
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DL
1999
Springer
122views Digital Library» more  DL 1999»
14 years 2 months ago
A Patent Search and Classification System
We present a system for searching and classifying U.S. patent documents, based on Inquery. Patents are distributed through hundreds of collections, divided up by general area. The...
Leah S. Larkey
ICML
1997
IEEE
14 years 2 months ago
A Comparative Study on Feature Selection in Text Categorization
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
Yiming Yang, Jan O. Pedersen
IAT
2010
IEEE
13 years 7 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...
ICDAR
2009
IEEE
14 years 4 months ago
Seal Detection and Recognition: An Approach for Document Indexing
Reliable indexing of documents having seal instances can be achieved by recognizing seal information. This paper presents a novel approach for detecting and classifying such multi...
Partha Pratim Roy, Umapada Pal, Josep Lladó...
ICDAR
2009
IEEE
13 years 7 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An