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Advances in Machine Learning and Data Science pp 129–138Cite as

GCV-Based Regularized Extreme Learning Machine for Facial Expression Recognition

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 705))

Abstract

Extreme learning machine (ELM) with a single-layer feed-forward network (SLFN) has acquired overwhelming attention. The structure of ELM has to be optimized through the incorporation of regularization to gain convenient results, and the Tikhonov regularization is frequently used. Regularization benefits in improving the generalized performance than traditional ELM. The estimation of regularization parameter mainly follows heuristic approaches or some empirical analysis through prior experience. When such a choice is not possible, the generalized cross-validation (GCV) method is one of the most popular choices for obtaining optimal regularization parameter. In this work, a new method of facial expression recognition is introduced where histogram of oriented gradients (HOG) feature extraction and GCV-based regularized ELM are applied. Experimental results on facial expression database JAFFE demonstrate promising performance which outperforms the other two classifiers, namely support vector machine (SVM) and k-nearest neighbor (KNN).

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References

  1. Bartlett, M.S., Littlewort, G., Frank, M., Lainscsek, C., Fasel, I., Movellan, J.: Recognizing facial expression: machine learning and application to spontaneous behavior. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, CVPR 2005, vol. 2, pp. 568–573. IEEE (2005)

    Google Scholar 

  2. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, CVPR 2005, vol. 1, pp. 886–893. IEEE (2005)

    Google Scholar 

  3. Deshmukh, S., Patwardhan, M., Mahajan, A.: Survey on real-time facial expression recognition techniques. IET Biom. 5(3), 155–163 (2016)

    Google Scholar 

  4. Ekman, P., Friesen, W.V.: Facial action coding system (1977)

    Google Scholar 

  5. Ekman, P., Oster, H.: Facial expressions of emotion. Annu. Rev. Psychol. 30(1), 527–554 (1979)

    Article  Google Scholar 

  6. Fasel, B., Luettin, J.: Automatic facial expression analysis: a survey. Pattern Recognit. 36(1), 259–275 (2003)

    Article  Google Scholar 

  7. Friedman, J., Hastie, T., Tibshirani, R.: Regularization paths for generalized linear models via coordinate descent. J. Statist. Softw. 33(1), 1 (2010)

    Article  Google Scholar 

  8. Golub, G.H., Heath, M., Wahba, G.: Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21(2), 215–223 (1979)

    Article  MathSciNet  Google Scholar 

  9. Huang, G.B., Chen, L.: Convex incremental extreme learning machine. Neurocomputing 70(16), 3056–3062 (2007)

    Article  Google Scholar 

  10. Huang, G.B., Chen, L.: Enhanced random search based incremental extreme learning machine. Neurocomputing 71(16), 3460–3468 (2008)

    Article  Google Scholar 

  11. Huang, G., Huang, G.B., Song, S., You, K.: Trends in extreme learning machines: a review. Neural Netw. 61, 32–48 (2015)

    Article  Google Scholar 

  12. Huang, G.B., Zhou, H., Ding, X., Zhang, R.: Extreme learning machine for regression and multiclass classification. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 42(2), 513–529 (2012)

    Google Scholar 

  13. Lyons, M., Akamatsu, S., Kamachi, M., Gyoba, J.: Coding facial expressions with gabor wavelets. In: Third IEEE International Conference on Automatic Face and Gesture Recognition, 1998. Proceedings, pp. 200–205. IEEE (1998)

    Google Scholar 

  14. MartíNez-MartíNez, J.M., Escandell-Montero, P., Soria-Olivas, E., MartíN-Guerrero, J.D., Magdalena-Benedito, R., GóMez-Sanchis, J.: Regularized extreme learning machine for regression problems. Neurocomputing 74(17), 3716–3721 (2011)

    Article  Google Scholar 

  15. Shan, C., Gong, S., McOwan, P.W.: Facial expression recognition based on local binary patterns: a comprehensive study. Image Vis. Comput. 27(6), 803–816 (2009)

    Article  Google Scholar 

  16. Sokolova, M., Lapalme, G.: A systematic analysis of performance measures for classification tasks. Inf. Process. Manage. 45(4), 427–437 (2009)

    Article  Google Scholar 

  17. Tian, Y.I., Kanade, T., Cohn, J.F.: Recognizing action units for facial expression analysis. IEEE Trans. Pattern Anal. Mach. Intell. 23(2), 97–115 (2001)

    Article  Google Scholar 

  18. Tian, Y., Kanade, T., Cohn, J.F.: Facial expression recognition. In: Handbook of Face Recognition, pp. 487–519. Springer (2011)

    Google Scholar 

  19. Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vision 57(2), 137–154 (2004)

    Article  Google Scholar 

  20. Yang, M.H., Kriegman, D.J., Ahuja, N.: Detecting faces in images: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 24(1), 34–58 (2002)

    Article  Google Scholar 

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Authors and Affiliations

  1. National Institute of Technology Goa, Ponda, Goa, India

    Shraddha Naik & Ravi Prasad K. Jagannath

Authors
  1. Shraddha Naik
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  2. Ravi Prasad K. Jagannath
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Correspondence to Shraddha Naik .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Goa, Goa, India

    Damodar Reddy Edla

  2. Department of Mathematics and Computing Science, Saint Mary’s University, Halifax, NS, Canada

    Pawan Lingras

  3. Department of Computer Science and Engineering, National Institute of Technology Goa, Goa, India

    Venkatanareshbabu K.

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Naik, S., Jagannath, R.P.K. (2018). GCV-Based Regularized Extreme Learning Machine for Facial Expression Recognition. In: Reddy Edla, D., Lingras, P., Venkatanareshbabu K. (eds) Advances in Machine Learning and Data Science. Advances in Intelligent Systems and Computing, vol 705. Springer, Singapore. https://doi.org/10.1007/978-981-10-8569-7_14

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  • DOI: https://doi.org/10.1007/978-981-10-8569-7_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8568-0

  • Online ISBN: 978-981-10-8569-7

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