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pro vyhledávání: '"Tensmeyer, Christopher Alan"'
Autor:
Tensmeyer, Christopher Alan
Publikováno v:
Theses and Dissertations.
Automatic machine understanding of documents from image inputs enables many applications in modern document workflows, digital archives of historical documents, and general machine intelligence, among others. Together, the techniques for understandin
Externí odkaz:
https://scholarsarchive.byu.edu/etd/7389
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8389&context=etd
Autor:
Tensmeyer, Christopher Alan
Publikováno v:
All Theses and Dissertations.
Identifying the type of a scanned form greatly facilitates processing, including automated field segmentation and field recognition. Contrary to the majority of existing techniques, we focus on unsupervised type identification, where the set of form
Externí odkaz:
https://scholarsarchive.byu.edu/etd/6055
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7054&context=etd
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=7054&context=etd