Proposing a sparse representational based face verification system to run in a shortage of memory

Studying face verification has seen tremendous growth over the past years. During the last decade, with the improvement of system processors and memories, deep learning was growth widely and the applications of Convolutional Neural Network (CNN) affected all image processing tasks. But, needing much...

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Veröffentlicht in:	Multimedia tools and applications 2020, Vol.79 (3-4), p.2965-2985
Hauptverfasser:	Hazrati Fard, Seyed Mehdi, Hashemi, Sattar
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Communication Networks Computer Science Data Structures and Information Theory Dictionaries Electronic devices Face recognition Image processing Image reconstruction Machine learning Multimedia Information Systems Shortages Special Purpose and Application-Based Systems Verification
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