An Interpretable Generative Model for Handwritten Digits Synthesis

An interpretable generative model for handwritten digits synthesis is proposed in this work. Modern image generative models such as the variational autoencoder (VAE) are trained by backpropagation (BP). The training process is complex, and its underlying mechanism is not transparent. Here, we presen...

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Vydané v:	Proceedings - International Conference on Image Processing s. 1910 - 1914
Hlavní autori:	Zhu, Yao, Suri, Saksham, Kulkarni, Pranav, Chen, Yueru, Duan, Jiali, Kuo, C.-C. Jay
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2019
Predmet:	Decoding explainable machine learning feedforward Design Generative model Image reconstruction Image synthesis Kernel Principal component analysis principal component analysis (PCA) Training Transforms variational autoencoder (VAE)
ISSN:	2381-8549
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