Face recognition via deep stacked denoising sparse autoencoders (DSDSA)
type: Item
instance of: scholarly article
title: Face recognition via deep stacked denoising sparse autoencoders (DSDSA)
zbMATH Open document ID: 1428.94024
author: Yanyan Li
published in: Applied Mathematics and Computation
publication date: 2019-11-28T00:00:00Z
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 7138494
zbMATH Keywords: face recognition
zbMATH Keywords: deep learning
zbMATH Keywords: sparse autoencoders
describes a project that uses: JAFFE
describes a project that uses: LFW
describes a project that uses: darch
describes a project that uses: DeepFace
describes a project that uses: FaceNet
describes a project that uses: PubFig
MaRDI profile type: Publication
full work available at URL: j.amc.2019.02.071
OpenAlex ID: W2921182884
cites work: Handbook of Face Recognition
cites work: Q4261789
cites work: Reducing the Dimensionality of Data with Neural Networks
cites work: Learning Deep Architectures for AI
cites work: A Fast Learning Algorithm for Deep Belief Nets
DOI: 10.1016/J.AMC.2019.02.071
description: scientific article; zbMATH DE number 7138494