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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Bibliographic Details

Published in:	Proceedings - International Conference on Image Processing pp. 1910 - 1914
Main Authors:	Zhu, Yao, Suri, Saksham, Kulkarni, Pranav, Chen, Yueru, Duan, Jiali, Kuo, C.-C. Jay
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2019
Subjects:	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
Online Access:	Get full text
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