Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-28T10:37:28.204Z Has data issue: false hasContentIssue false
  • English
  • Français

A Particle Extraction Method with an Improved Auto-encoder in Neural Networks with the Aid of HOG Feature Analysis

Published online by Cambridge University Press:  04 August 2017

Shoki Tezuka ,
Gen Maeda ,
Misuzu Baba  and
Norio Baba
Shoki Tezuka
Affiliation:
Major of Informatics, Graduate School, Kogakuin University, Shinjuku, Japan
Gen Maeda
Affiliation:
Major of Informatics, Graduate School, Kogakuin University, Shinjuku, Japan
Misuzu Baba
Affiliation:
Research Institute for Science and Technology, Kogakuin University, Hachioji, Japan
Norio Baba
Affiliation:
Major of Informatics, Graduate School, Kogakuin University, Shinjuku, Japan

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 134 - 135
Copyright
© Microscopy Society of America 2017 

References

[1] Ogura, T, et al, Journal of Structural Biology 136 2001). p. 227.CrossRefGoogle Scholar
[2] Chklovskii, D B, et al, Neurobiology 20 2010). p. 1.Google Scholar
[3] Baldi, P & Hornic, K Neural Networks 2 1989). p. 53.CrossRefGoogle Scholar
[4] Dalal, N & Triggs, B IEEE Computer Society Conference on CVPR, (2005).Google Scholar