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ICDAR
2003
IEEE
16 years 25 days ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
SIGIR
2008
ACM
15 years 7 months ago
Knowledge transformation from word space to document space
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
Tao Li, Chris H. Q. Ding, Yi Zhang 0005, Bo Shao
ICDE
1999
IEEE
184views Database» more  ICDE 1999»
16 years 9 months ago
Document Warehousing Based on a Multimedia Database System
Nowadays, structured data such as sales and business forms are stored in data warehouses for decision makers to use. Further, unstructured data such as emails, html texts, images,...
Hiroshi Ishikawa, Kazumi Kubota, Yasuo Noguchi, Ko...
LREC
2010
149views Education» more  LREC 2010»
15 years 9 months ago
DutchParl. The Parliamentary Documents in Dutch
A corpus called DutchParl is created which aims to contain all digitally available parliamentary documents written in the Dutch language. The first version of DutchParl contains d...
Maarten Marx, Anne Schuth
DRR
2008
15 years 9 months ago
Word segmentation of off-line handwritten documents
Word segmentation is the most critical pre-processing step for any handwritten document recognition/retrieval system. This paper describes an approach to separate a line of uncons...
Chen Huang, Sargur N. Srihari