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Classifying Human Activities with Temporal Extension of Random Forest Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Local Invariance Representation Learning Algorithm with Multi-layer Extreme Learning Machine

Authors : Xibin Jia, Xiaobo Li, Hua Du, Bir Bhanu

Published in: Neural Information Processing

Publisher: Springer International Publishing

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Abstract

Multi-layer extreme learning machine (ML-ELM) is a stacked extreme learning machine based auto-encoding (ELM-AE). It provides an effective solution for deep feature extraction with higher training efficiency. To enhance the local-input invariance of feature extraction, we propose a contractive multi-layer extreme learning machine (C-ML-ELM) by adding a penalty term in the optimization function to minimize derivative of output to input at each hidden layer. In this way, the extracted feature is supposed to keep consecutiveness attribution of an image. The experiments have been done on MNIST handwriting dataset and face expression dataset CAFÉ. The results show that it outperforms several state-of-art classification algorithms with less error and higher training efficiency.

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previous chapter Gender-Specific Classifiers in Phoneme Recognition and Academic Emotion Detection
next chapter Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition
Literature
1.
Kumar, G., Bhatia, P.K.: A detailed review of feature extraction in image processing systems. In: IEEE Fourth International Conference on Advanced Computing and Communication Technologies, pp. 5–12 (2014)
2.
Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006)CrossRefMATH
3.
Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 886–893 (2013)
4.
Jia, X., Zhang, Y., Powers, D., Ali, H.B.: Multi-classifier fusion based facial expression recognition approach. KSII Trans. Internet Inf. Syst. 8(1), 196–212 (2014)CrossRef
5.
Zavaschi, T.H.H., Britto Jr., A.S., Oliveira, L.E.S., Koerich, A.L.: Fusion of feature sets and classifiers for facial expression recognition. Expert Syst. Appl. 40(2), 646–655 (2013)CrossRef
6.
Jing, P., Bhanu, B.: Delayed reinforcement learning for adaptive image segmentation and feature extraction. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 28(3), 482–488 (1998)CrossRef
7.
Liu, S., Bai, X.: Discriminative features for image classification and retrieval. In: IEEE International Conference on Image and Graphics, pp. 744–751 (2011)
8.
Chen, M., Zhang, L., Allebach, J.P.: Learning deep features for image emotion classification. In: IEEE International Conference on Image Processing. IEEE (2015)
9.
Kasun, L.L.C., Zhou, H., Huang, G.-B., Vong, C.M.: Representational learning with extreme learning machine for big data. IEEE Intell. Syst. 28(6), 31–34 (2013)
10.
Vincent, P., et al.: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11(6), 3371–3408 (2010)MathSciNetMATH
11.
12.
Rifai, S., Vincent, P., Muller, X., et al.: Contractive auto-encoders: explicit invariance during feature extraction. In: Proceedings of the 28th International Conference on Machine Learning (ICML-2011), Bellevue, WA, USA, pp. 833–840 (2011)
13.
LeCun, Y., Bottou, L., Bengio, Y., et al.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278–2324 (1998)CrossRef
14.
Metadata
Title
Local Invariance Representation Learning Algorithm with Multi-layer Extreme Learning Machine
Authors
Xibin Jia
Xiaobo Li
Hua Du
Bir Bhanu
Copyright Year
2016
Book
Neural Information Processing

Print ISBN: 978-3-319-46680-4

Electronic ISBN: 978-3-319-46681-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-46681-1_60

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