Texture-Based Seafloor Characterization Using Gaussian Process Classification-Reference-Cited by-同舟云学术

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Texture-Based Seafloor Characterization Using Gaussian Process Classification

Published:2022-10 Issue:4 Volume:47 Page:1058-1068
ISSN:0364-9059
Container-title:IEEE Journal of Oceanic Engineering
language:
Short-container-title:IEEE J. Oceanic Eng.

Author:

Gips Bart¹^ORCID

Affiliation:

1. NATO STO Centre for Maritime Research and Experimentation, La Spezia, Italy

Funder

NATO Allied Command Transformation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering

Link

http://xplorestaging.ieee.org/ielx7/48/9917395/09786588.pdf?arnumber=9786588

Reference47 articles.

1. Dropout as a Bayesian approximation: Representing model uncertainty in deep learning;gal;Proc Int Conf Mach Learn,0

2. Visualizing and Understanding Convolutional Networks

3. Adam: A method for stochastic optimization;kingma,0

4. TensorFlow: A system for large-scale machine learning;abadi;Proc 12th USENIX Symp Oper Syst Des Implementation,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Optimization of The Zinc Electroplating Bath Using Machine Learning And Genetic Algorithms (NSGA-II);Bitlis Eren Üniversitesi Fen Bilimleri Dergisi;2022-12-23

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