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Annotation-free learning of plankton for classification and anomaly detection

The acquisition of increasingly large plankton digital image datasets requires automatic methods of recognition and classification. As data size and collection speed increases, manual annotation and database representation are often bottlenecks for utilization of machine learning algorithms for taxo...

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Detalles Bibliográficos
Autores principales: Pastore, Vito P., Zimmerman, Thomas G., Biswas, Sujoy K., Bianco, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7376023/
https://www.ncbi.nlm.nih.gov/pubmed/32699302
http://dx.doi.org/10.1038/s41598-020-68662-3

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