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Science / Linguistics / N-gram / Natural language processing / Speech recognition / Feature / Language model / Scale-invariant feature transform / Artificial intelligence / Image processing / Computer vision


Integrating visual words as bunch of n-grams for effective biomedical image classification Glauco V. Pedrosa1 , Md Mahmudur Rahman2 , Sameer K. Antani2 , Dina Demner-Fushman2 , L. Rodney Long2 , Agma J. M. Traina1 1 Univ
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Document Date: 2014-08-09 09:39:16

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City

Santos / Washington / DC / Grid / New York / /

Company

Video Technology / Microsoft / /

Country

United States / Brazil / /

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Facility

University of S˜ao Paulo / National Library of Medicine / /

IndustryTerm

trivial solution / object search / natural language processing / mining / imaging / learning algorithms / /

NaturalFeature

Shannon / /

Organization

National Institute of Health / Lister Hill National Center for Biomedical Communications / IEEE Computer Society / University of S˜ao Paulo / /

Person

C. Wang / Bt / A. Peas / V / Y. Cao / L. Zhang / Z. Li / P. Tirilly / V / /

Position

extractor / Prime Minister / representative / Cao / /

ProgrammingLanguage

DC / /

ProvinceOrState

New York / /

PublishedMedium

Lecture Notes in Computer Science / /

Technology

natural language processing / X-ray / proposed algorithm / Image Processing / MRI / /

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