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Computer vision cracks the leaf code.
Wilf, Peter; Zhang, Shengping; Chikkerur, Sharat; Little, Stefan A; Wing, Scott L; Serre, Thomas.
  • Wilf P; Department of Geosciences, Pennsylvania State University, University Park, PA 16802; pwilf@psu.edu s.zhang@hit.edu.cn thomas_serre@brown.edu.
  • Zhang S; Department of Cognitive, Linguistic and Psychological Sciences, Brown Institute for Brain Science, Brown University, Providence, RI 02912; School of Computer Science and Technology, Harbin Institute of Technology, Weihai 264209, Shandong, People's Republic of China; pwilf@psu.edu s.zhang@hit.edu.cn
  • Chikkerur S; Azure Machine Learning, Microsoft, Cambridge, MA 02142;
  • Little SA; Department of Geosciences, Pennsylvania State University, University Park, PA 16802; Laboratoire Ecologie, Systématique et Evolution, Université Paris-Sud, 91405 Orsay Cedex, France;
  • Wing SL; Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013.
  • Serre T; Department of Cognitive, Linguistic and Psychological Sciences, Brown Institute for Brain Science, Brown University, Providence, RI 02912; pwilf@psu.edu s.zhang@hit.edu.cn thomas_serre@brown.edu.
Proc Natl Acad Sci U S A ; 113(12): 3305-10, 2016 Mar 22.
Article en En | MEDLINE | ID: mdl-26951664
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hojas de la Planta / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Año: 2016 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hojas de la Planta / Aprendizaje Automático Tipo de estudio: Prognostic_studies Idioma: En Año: 2016 Tipo del documento: Article