Analysis of PCA and LDA Features for Facial Expression Recognition Using SVM and HMM Classifiers-Reference-Cited by-同舟云学术

Analysis of PCA and LDA Features for Facial Expression Recognition Using SVM and HMM Classifiers

Published:2019-11-07 Issue: Volume: Page:109-119
ISSN:
Container-title:Techno-Societal 2018
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Author:

Varma Satishkumar,Shinde Megha,Chavan Satishkumar S.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16848-3_11

Reference17 articles.

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3. Martinez A, Kak A (2001) PCA versus LDA. IEEE Trans Pattern Anal Mach Intell 23(2):228–233

4. Dhall S, Sethi P (2014) Geometric and appearance feature analysis for facial expression recognition. Int J Adv Eng Technol 5(3):1–11

5. Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86

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