Publication:
Utilizing AlexNet Deep Transfer Learning for Ear Recognition

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dc.citedby73
dc.contributor.authorAlmisreb A.A.en_US
dc.contributor.authorJamil N.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorid50460937600en_US
dc.contributor.authorid6603538109en_US
dc.contributor.authorid9335429400en_US
dc.date.accessioned2023-05-29T06:51:07Z
dc.date.available2023-05-29T06:51:07Z
dc.date.issued2018
dc.descriptionConvolution; Information retrieval; Knowledge management; Problem solving; AlexNet; Convolution neural network; Ear recognition; Fully-connected layers; Human recognition; Nonlinear problems; Problem domain; Transfer learning; Deep learningen_US
dc.description.abstractTransfer Learning is an efficient approach of solving classification problem with little amount of data. In this paper, we applied Transfer Learning to the well-known AlexNet Convolution Neural Network (AlexNet CNN) for human recognition based on ear images. We adopted and fine-tuned AlexNet CNN to suit our problem domain. The last fully connected layer is replaced with another fully connected layer to recognize 10 classes instead of 1000 classes. Another Rectified Linear Unit (ReLU) layer is also added to improve the non-linear problem-solving ability of the network. To train the fine-tuned network, we allocate 250 ear images taken from 10 subjects for training, and 50 ear images are used for validation and testing. The proposed fine-tuned network works well in our application as we get 100% validation accuracy. � 2018 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8464769
dc.identifier.doi10.1109/INFRKM.2018.8464769
dc.identifier.epage12
dc.identifier.scopus2-s2.0-85054421529
dc.identifier.spage8
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85054421529&doi=10.1109%2fINFRKM.2018.8464769&partnerID=40&md5=2ce43c2725b51d5d87fad7d068497683
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23703
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2018 4th International Conference on Information Retrieval and Knowledge Management: Diving into Data Sciences, CAMP 2018
dc.titleUtilizing AlexNet Deep Transfer Learning for Ear Recognitionen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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