Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Steven E. Lumos"'
Publikováno v:
International Journal on Document Analysis and Recognition. 6:230-235
In this paper, we study the effects of automatic zoning on retrieval and ranking variability. We will show that OCR-generated text from automatic zoning, followed by postprocessing, produces retrieval results equivalent to OCR-generated text from man
Publikováno v:
DRR
Extraction of metadata from documents is a tedious and expensive process. In general, documents are manually reviewed for structured data such as title, author, date, organization, etc. The purpose of extraction is to build metadata for documents tha
Autor:
Allen Condit, Kazem Taghva, Jeffrey Coombs, Steven E. Lumos, Julie Borsack, Thomas A. Nartker
Publikováno v:
ITCC
We report on the construction of an ontology that applies rules for identification of features to be used for email classification. The associated probabilities for these features are then calculated from the training set of emails and used as a part
Publikováno v:
Document Recognition and Retrieval
In this paper we describe experiments that investigate the effects of OCR errors on text categorization. In particular, we show that in our environment, OCR errors have no effect on categorization when we use a classifier based on the naive Bayes mod