Wavelet-based convolutional neural networks for gender classification-Reference-Cited by-同舟云学术

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Wavelet-based convolutional neural networks for gender classification

Published:2019-01-23 Issue:01 Volume:28 Page:1
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Aslam Aasma¹,Hayat Khizar²,Umar Arif Iqbal³,Zohuri Bahman¹,Zarkesh-Ha Payman¹,Modissette David¹,Khan Sahib Zar⁴,Hussian Babar⁵

Affiliation:

1. University of New Mexico, Department of Electrical and Computer Engineering, Rio Rancho, New Mexico

2. University of Nizwa, Department of Mathematical and Physical Sciences, College of Arts and Sciences

3. Hazara University, Department of Information Technology, Mansehra

4. Geographic Solutions Inc., Unemployment Insurance Benefits Adjudication Department, Palm Harbor, Flo

5. Intel Corporation, Rio Rancho, New Mexico

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference98 articles.

1. An experimental comparison of gender classification methods

2. Combining appearance and motion for face and gender recognition from videos

3. DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention

4. Artificial neural network;Zhang,2018

5. A general approach to business resilience system (BRS);Zohuri,2018

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3. Technology, Science and Culture: A Global Vision, Volume IV;Technology, Science and Culture - A Global Vision, Volume IV;2023-03-29

4. Gender estimation based on deep learned and handcrafted features in an uncontrolled environment;Multimedia Systems;2022-10-08

5. Hybrid pooling with wavelets for convolutional neural networks;Journal of Intelligent & Fuzzy Systems;2022-03-31

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