Artists Identification Using Convolutional Sparse Autoencoder
This paper describes a method to identify artistswith a similar painting technique usingasemi-unsupervised learningapproach. In this paper, we compared Van Gogh and Paul Gauguin since both use impasto painting technique. The contribution of this paper lies in the use of Convolutional Sparse Autoencoder to classify Van Gogh and Paul Gauguin’s paintings. The dataset consists of 450 Paul Gauguin’s paintings and 716 Van Gogh’s paintings. The best result was achieved by using 100 hidden neurons with test accuracy 63.85%, precision 64.12%, and recall 63.85%
Detail Information
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Felix Indra Kurniadi - Personal Name
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Citation
. ().Artists Identification Using Convolutional Sparse Autoencoder.(Electronic Thesis or Dissertation). Retrieved from https://localhost/etd
