Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore

Raphael B. Alampay; Josh Daniel Ong; Ma Regina Justina E. Estuar; Patricia Angela R. Abu

doi:10.1007/978-3-030-17798-0_35

Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore

Raphael B. Alampay, Josh Daniel Ong, Ma Regina Justina E. Estuar, Patricia Angela R. Abu

Department of Information Systems and Computer Science

Ateneo de Manila University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC
Editors	Kohei Arai, Supriya Kapoor
Publisher	Springer Verlag
Pages	436-446
Number of pages	11
ISBN (Print)	9783030177973
DOIs	https://doi.org/10.1007/978-3-030-17798-0_35
State	Published - 2020
Event	Computer Vision Conference, CVC 2019 - Las Vegas, United States Duration: Apr 25 2019 → Apr 26 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	944
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Computer Vision Conference, CVC 2019
Country/Territory	United States
City	Las Vegas
Period	4/25/19 → 4/26/19

ASJC Scopus Subject Areas

Control and Systems Engineering
General Computer Science

Keywords

Autoencoders
Computer vision
Fusarium oxysporum
One-shot learning

Access to Document

10.1007/978-3-030-17798-0_35

Cite this

Alampay, R. B., Ong, J. D., Estuar, M. R. J. E., & Abu, P. A. R. (2020). Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore. In K. Arai, & S. Kapoor (Eds.), Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC (pp. 436-446). (Advances in Intelligent Systems and Computing; Vol. 944). Springer Verlag. https://doi.org/10.1007/978-3-030-17798-0_35

Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore. / Alampay, Raphael B.; Ong, Josh Daniel; Estuar, Ma Regina Justina E. et al.
Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. ed. / Kohei Arai; Supriya Kapoor. Springer Verlag, 2020. p. 436-446 (Advances in Intelligent Systems and Computing; Vol. 944).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Alampay, RB, Ong, JD, Estuar, MRJE & Abu, PAR 2020, Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore. in K Arai & S Kapoor (eds), Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Advances in Intelligent Systems and Computing, vol. 944, Springer Verlag, pp. 436-446, Computer Vision Conference, CVC 2019, Las Vegas, United States, 4/25/19. https://doi.org/10.1007/978-3-030-17798-0_35

Alampay RB, Ong JD, Estuar MRJE , Abu PAR. Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore. In Arai K, Kapoor S, editors, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Springer Verlag. 2020. p. 436-446. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-17798-0_35

Alampay, Raphael B. ; Ong, Josh Daniel ; Estuar, Ma Regina Justina E. et al. / Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore. Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. editor / Kohei Arai ; Supriya Kapoor. Springer Verlag, 2020. pp. 436-446 (Advances in Intelligent Systems and Computing).

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Performance Evaluation of Autoencoders for One-Shot Classification of Infectious Chlamydospore

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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