Methods

Classifying black and white spruce pollen using layered machine learning

  1. Surangi W. Punyasena1,2,*,
  2. David K. Tcheng2,3,
  3. Cassandra Wesseln1,
  4. Pietra G. Mueller4

Article first published online: 3 SEP 2012

DOI: 10.1111/j.1469-8137.2012.04291.x

Issue

New Phytologist

New Phytologist

Volume 196, Issue 3, pages 937–944, November 2012

Additional Information

How to Cite

Punyasena, S. W., Tcheng, D. K., Wesseln, C. and Mueller, P. G. (2012), Classifying black and white spruce pollen using layered machine learning. New Phytologist, 196: 937–944. doi: 10.1111/j.1469-8137.2012.04291.x

Author Information

  1. 1

    Department of Plant Biology, University of Illinois, Urbana, IL, USA

  2. 2

    Illinois Informatics Institute, University of Illinois, IL, USA

  3. 3

    National Center for Supercomputing Applications, Urbana, IL, USA

  4. 4

    Illinois State Museum, Research and Collections Center, Springfield, IL, USA

* Author for correspondence:
Surangi W. Punyasena
Tel: +1 217 244 8049
Email: punyasena@life.illinois.edu

Publication History

  1. Issue published online: 9 OCT 2012
  2. Article first published online: 3 SEP 2012
  3. Manuscript Accepted: 23 JUL 2012
  4. Manuscript Received: 11 JUN 2012

Funded by

  • National Center for Supercomputing Applications
  • University of Illinois Campus Research Board. Grant Number: #10253
  • US National Science Foundation. Grant Number: DBI-1052997

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