NR-Isomap: An Incremental Approach with Gaussian Process Kernels for Denoising-Reference-Cited by-同舟云学术

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NR-Isomap: An Incremental Approach with Gaussian Process Kernels for Denoising

Published:2023-07-07 Issue: Volume: Page:
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Container-title:2023 IEEE 6th International Conference on Big Data and Artificial Intelligence (BDAI)
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Author:

Yousaf Mahwish¹,Khan Muhammad Saaadat Shakoor²,Ullah Shamsher³,Wang Shou¹,Jing Li¹

Affiliation:

1. University of Science and Technology of China,School of Computer, Science and Technology,Hefei,China

2. Chinese Academy of Sciences,Institute of Solid-State Physics,Key Laboratory of Materials Physics,Hefei,China

3. Unit of System and Technology University of Management and Technology,Department Knowledge,Sialkot,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256661/10256425/10256697.pdf?arnumber=10256697

Reference43 articles.

1. Assessing Approximate Inference for Binary Gaussian Process Classification;Kuss;Journal of machine learning research,2005

2. Gaussian process regression networks;Wilson,2011

3. Gaussian process kernels for pattern discovery and extrapolation;Wilson

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