Beyond Basic Emotions: High-Accuracy Facial Expression Classification Using a CNN-SVM Hybrid Model-Reference-Cited by-同舟云学术

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Beyond Basic Emotions: High-Accuracy Facial Expression Classification Using a CNN-SVM Hybrid Model

Published:2024-04-22 Issue: Volume:29 Page:1-4
ISSN:
Container-title:2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS)
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Author:

Banoth Sreenu¹,Kukreja Vinay²,Thapliyal Nitin³,Aeri Manisha⁴,Sharma Rishabh²

Affiliation:

1. IILM University,Computer Science and Engineering,Greater Noida,Uttar Pradesh,India,201306

2. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

3. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttrakhand,India,248002

4. Graphic Era Deemed to be University,Computer Science and Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543248/10543285/10544213.pdf?arnumber=10544213

Reference17 articles.

1. Facial Recognition Using Deep Learning

2. Deep learning and face recognition: the state of the art

3. Sugar Learning: Deep Learning for Rapid Detection and Classification of Sugarcane Diseases

4. Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms

5. Predictive Machine Learning Approaches for Cervical Cancer Detection: An Analytical Comparison;Srivastav

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