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Transfer learning for feature dimensionality reduction
Joint Authors
Thribhuvan, Nikhila
Elayidom, Sudheep
Source
The International Arab Journal of Information Technology
Issue
Vol. 19, Issue 5 (30 Sep. 2022), pp.721-727, 7 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2022-09-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Transfer learning is a machine learning methodology by which a model developed for achieving a task is exploited for another related job.
Many pre-trained image classification models trained on ImageNet are used for transfer learning.
These pre-trained networks could also be used for classifying out of domain images by retraining them.
This paper, along with the existing application for these pre-trained models, is also being exploited for feature dimensionality reduction.
Many dimensionality reduction methods are available; the pre-trained image models will help us perform both image feature extraction and dimensionality reduction in a single go using the same network.
The fine-tuning of the fully connected layers of the pre-trained network is done to extract the image features; along with this fine-tuning, some more tweaking is done on the fully connected layers of these models to reduce the image feature dimensionality.
Here, VGG-16 and VGG-19 are the pre-trained models considered for feature vector generation and dimensionality reduction.
An analysis of the efficiency of features generated by these pre-trained networks in classifying the out-of-domain images is done.
Three different variants of VGG-16 and VGG-19 are analysed.
All the three variants developed gave an AUC value above 0.8, which is considered good.
American Psychological Association (APA)
Thribhuvan, Nikhila& Elayidom, Sudheep. 2022. Transfer learning for feature dimensionality reduction. The International Arab Journal of Information Technology،Vol. 19, no. 5, pp.721-727.
https://search.emarefa.net/detail/BIM-1437074
Modern Language Association (MLA)
Thribhuvan, Nikhila& Elayidom, Sudheep. Transfer learning for feature dimensionality reduction. The International Arab Journal of Information Technology Vol. 19, no. 5 (Sep. 2022), pp.721-727.
https://search.emarefa.net/detail/BIM-1437074
American Medical Association (AMA)
Thribhuvan, Nikhila& Elayidom, Sudheep. Transfer learning for feature dimensionality reduction. The International Arab Journal of Information Technology. 2022. Vol. 19, no. 5, pp.721-727.
https://search.emarefa.net/detail/BIM-1437074
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 726-727
Record ID
BIM-1437074