How deep learning extracts and learns leaf features for plant classification

Sue Han Lee; Chee Seng Chan; Simon Joseph Mayo; Paolo Remagnino

doi:10.1016/j.patcog.2017.05.015

How deep learning extracts and learns leaf features for plant classification

Sue Han Lee
, Chee Seng Chan
, Simon Joseph Mayo
, Paolo Remagnino

Research output: Contribution to journal › Article › peer-review

1 Downloads (Pure)

Original language	English
Pages (from-to)	1-13
Journal	Pattern Recognition
Volume	71
Early online date	18 May 2017
DOIs	https://doi.org/10.1016/j.patcog.2017.05.015
Publication status	Published - 30 Nov 2017

Bibliographical note

Note: This work was supported by the Ministry of Education Malaysia [Fundamental Research Grant Scheme (FRGS) MoHE Grant FP070-2015A], NVIDIA Corporation and University of Malaya [ Postgraduate Research (PPP) Grant PG007-2016A]

Keywords

Biological sciences

Access to Document

10.1016/j.patcog.2017.05.015

Remagnino-P-38201-AAMAccepted author manuscript, 1.95 MBLicence: CC BY-NC-ND

https://doi.org/10.1016/j.patcog.2017.05.015

Cite this

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title = "How deep learning extracts and learns leaf features for plant classification",

keywords = "Biological sciences",

author = "Lee, \{Sue Han\} and Chan, \{Chee Seng\} and Mayo, \{Simon Joseph\} and Paolo Remagnino",

note = "Note: This work was supported by the Ministry of Education Malaysia [Fundamental Research Grant Scheme (FRGS) MoHE Grant FP070-2015A], NVIDIA Corporation and University of Malaya [ Postgraduate Research (PPP) Grant PG007-2016A]",

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AU - Chan, Chee Seng

AU - Mayo, Simon Joseph

AU - Remagnino, Paolo

N1 - Note: This work was supported by the Ministry of Education Malaysia [Fundamental Research Grant Scheme (FRGS) MoHE Grant FP070-2015A], NVIDIA Corporation and University of Malaya [ Postgraduate Research (PPP) Grant PG007-2016A]

PY - 2017/11/30

Y1 - 2017/11/30

KW - Biological sciences

U2 - 10.1016/j.patcog.2017.05.015

DO - 10.1016/j.patcog.2017.05.015

M3 - Article

SN - 0031-3203

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JO - Pattern Recognition

JF - Pattern Recognition

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