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ICDAR
1999
IEEE
13 years 10 months ago
Segmenting Documents using Multiple Lexical Features
A method is presented for segmenting documents into conceptually related areas. Determining the equivalence of text is often based on the number of word repetitions. This approach...
Amanda C. Jobbins, Lindsay J. Evett
ICDAR
1999
IEEE
13 years 10 months ago
Context Filters for Document-based Information Filtering
In this paper we propose a keyPhrase-sense disambiguation methodology called "context filters" for use in keyPhrase based information filtering systems. A context filter...
K. R. K. Murthy, S. Sathiya Keerthi
ICDAR
1999
IEEE
13 years 10 months ago
Character and Document Research in the Open Mind Initiative
We describe the Open Mind Initiative, a framework for large-scale collaborative efforts in building components of "intelligent" systems that address common-sense reasoni...
David G. Stork
ICDAR
1999
IEEE
13 years 10 months ago
Telop and Flip Frame Detection and Character Extraction from TV News Articles
The purpose of this study is to automatically extract telop and flip characters. It starts from the extraction of stable frame sections including the telop and flip characters. Ne...
Yasuo Ariki, Katsumi Matsuura, Seiichi Takao
ICDAR
1999
IEEE
13 years 10 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...