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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)

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Learning to recognize plankton., , , , , , and . SMC, page 888-893. IEEE, (2003)Bit Reduction Support Vector Machine., , , and . ICDM, page 733-736. IEEE Computer Society, (2005)Active Learning to Recognize Multiple Types of Plankton., , , , , , and . ICPR (3), page 478-481. IEEE Computer Society, (2004)Feature Extraction for Binary Plankton Image Classification., , , and . CISST, page 702-707. CSREA Press, (2003)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)Binary plankton image classification using random subspace., , , , and . ICIP (1), page 357-360. IEEE, (2005)