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Paper Abstract and Keywords
Presentation 2019-11-18 13:50
[Poster Presentation] Image analysis based on nonnegative/binary matrix factorization
Hinako Asaoka, Kazue Kudo (Ochanomizu Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Image analysis is a technology used in a wide range of fields and requires much data. In this work, we employ technology for analyzing facial images with less memory than usual by an algorithm of matrix factorization, nonnegative/binary matrix factorization (NBMF). We use an annealing machine to accelerate the calculation. Applying this algorithm to images by considering them as a matrix, we are able to exact features of facial images. We reconstruct and search for images using those features.
Keyword (in Japanese) (See Japanese page) 
(in English) image analysis / NBMF / annealing / / / / /  
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Conference Information
Committee QIT  
Conference Date 2019-11-18 - 2019-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Gakushuin University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Quantum Information 
Paper Information
Registration To QIT 
Conference Code 2019-11-QIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Image analysis based on nonnegative/binary matrix factorization 
Sub Title (in English)  
Keyword(1) image analysis  
Keyword(2) NBMF  
Keyword(3) annealing  
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1st Author's Name Hinako Asaoka  
1st Author's Affiliation Ochanomizu University (Ochanomizu Univ.)
2nd Author's Name Kazue Kudo  
2nd Author's Affiliation Ochanomizu University (Ochanomizu Univ.)
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Speaker Author-1 
Date Time 2019-11-18 13:50:00 
Presentation Time 120 minutes 
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