(Q28595647)

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Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification

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scholarly article

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Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification (English)

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computer vision

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herbarium specimen

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Susanne S. Renner

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Susanne Renner

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author name string

Jakob Unger

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Dorit Merhof

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publication date

16 November 2016

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BMC Evolutionary Biology

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16

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1

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248

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1 reference

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17 March 2017

1 reference

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17 March 2017

Automated measurement of Drosophila wings

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5112707

17 March 2017

Identification of cichlid fishes from Lake Malawi using computer vision

1 reference

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29 September 2017

Is DNA barcoding child's play? Science education and the utility of DNA barcoding for the discrimination of UK tree species

1 reference

https://api.crossref.org/works/10.1186%2FS12862-016-0827-5

21 January 2018

Plant species identification using digital morphometrics: A review

1 reference

https://api.crossref.org/works/10.1186%2FS12862-016-0827-5

21 January 2018

Image-Based Identification of Plant Species Using a Model-Free Approach and Active Learning

1 reference

https://api.crossref.org/works/10.1186%2FS12862-016-0827-5

21 January 2018

A comparison of methods for multiclass support vector machines

1 reference

https://pubmed.ncbi.nlm.nih.gov/27852219

12 December 2020

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Identifiers

10.1186/S12862-016-0827-5

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9 September 2019

https://scigraph.springernature.com/pub.10.1186/s12862-016-0827-5

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