A centered kernel alignment-based strategy for pest evolution tracing: Myiopsitta monachus case-Reference-Cited by-同舟云学术

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A centered kernel alignment-based strategy for pest evolution tracing: Myiopsitta monachus case

Published:2023-07-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS)
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Author:

Viazzi Andrea¹,Rios Avril Maciel¹,Blandón Juan Sebastián¹,González Julián Gil²

Affiliation:

1. Artificial Intelligence Applications Group - ARIA Agro-Environmental Engineering - ITR CS Universidad Tecnológica de Uruguay - UTEC,Durazno,Uruguay

2. Pontificia Universidad Javeriana de Cali,Department of Electronics and Computer Science,Cali,Colombia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10179008/10178988/10179040.pdf?arnumber=10179040

Reference24 articles.

1. Algorithms for learning kernels based on centered alignment;cortes;The Journal of Machine Learning Research,2012

2. Machine Learning for Conservation Planning in a Changing Climate

3. A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring

4. Localized multiple kernel learning;gönen;Proceedings of the 25th International Conference on Machine Learning,2008

5. eBird: A citizen-based bird observation network in the biological sciences

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