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Increased classification accuracy and speedup through pair-wise feature selection for support vector machines.

, , , and . CIDM, page 318-324. IEEE, (2011)

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Active Learning to Recognize Multiple Types of Plankton., , , , , , and . ICPR (3), page 478-481. IEEE Computer Society, (2004)Automatic location of microscopic focal planes for computerized stereology., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79633C. SPIE, (2011)Learning to recognize plankton., , , , , , and . SMC, page 888-893. IEEE, (2003)System for Identifying Plankton from the SIPPER Instrument Platform.. University of South Florida, Tampa, USA, (2010)base-search.net (ftunisfloridatam:oai:digitalcommons.usf.edu:etd-4803).Toward automated quantification of biological microstructures using unbiased stereology., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 79633G. SPIE, (2011)Active cleaning of label noise., , , , , , and . Pattern Recognit., (2016)Active Learning to Recognize Multiple Types of Plankton., , , , , , and . J. Mach. Learn. Res., (2005)Increased classification accuracy and speedup through pair-wise feature selection for support vector machines., , , and . CIDM, page 318-324. IEEE, (2011)Detection of Anomalous Particles from the Deepwater Horizon Oil Spill Using the SIPPER3 Underwater Imaging Platform., , , , , , and . ICDM Workshops, page 741-748. IEEE Computer Society, (2011)Label-noise reduction with support vector machines., , , , , , , , and . ICPR, page 3504-3508. IEEE Computer Society, (2012)