Abstract
In this paper, a novel neural network, DenoisedAutoEncoder (DAE) is introduced first. This neural network is applied for extracting the features. In this paper, we proved that stacked DAE can extract good features for classification task. We apply the stacked DAE to extract features of leave pictures, and then we classify leaves using those features with SVM, the result suggests that this method surpass pure SVM.
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Gao, Y., Zhu, L., Zhu, HD., Gan, Y., Shang, L. (2014). Extract Features Using Stacked Denoised Autoencoder. In: Huang, DS., Han, K., Gromiha, M. (eds) Intelligent Computing in Bioinformatics. ICIC 2014. Lecture Notes in Computer Science(), vol 8590. Springer, Cham. https://doi.org/10.1007/978-3-319-09330-7_2
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DOI: https://doi.org/10.1007/978-3-319-09330-7_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09329-1
Online ISBN: 978-3-319-09330-7
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