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Conference contribution 101 views

Local Representation Learning with A Convolutional Autoencoder / Michael P. Kenning; Xianghua Xie; Michael Edwards; Jingjing Deng

2018 25th IEEE International Conference on Image Processing (ICIP), Pages: 3239 - 3243

Swansea University Author: Xie, Xianghua

  • Accepted Manuscript under embargo until: 7th October 2019

Abstract

We propose a clustering approach embedded in deep convolutional auto-encoder. In contrast to conventional clustering approaches, our method simultaneously learns feature representation and cluster assignment through deep convolutional auto-encoder.

Published in: 2018 25th IEEE International Conference on Image Processing (ICIP)
ISSN: 2381-8549
Published: Athens, Greece 2018 IEEE International Conference on Image Processing 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa40806
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Abstract: We propose a clustering approach embedded in deep convolutional auto-encoder. In contrast to conventional clustering approaches, our method simultaneously learns feature representation and cluster assignment through deep convolutional auto-encoder.
College: College of Science
Start Page: 3239
End Page: 3243