Kurt Kramer
University of South Florida
19 Papers
78 Citations
Kurt Kramer is an academic researcher from University of South Florida. The author has contributed to research in topics: Support vector machine & Feature selection. The author has an hindex of 9, co-authored 19 publications. Previous affiliations of Kurt Kramer include Microsoft.
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Papers
Active learning to recognize multiple types of plankton
Tong Luo,Kurt Kramer,Dmitry B. Goldgof,Lawrence O. Hall,Scott Samson,Andrew Remsen,Thomas L. Hopkins +6 more
- 23 Aug 2004
TL;DR: The experimental results from a plankton recognition system indicate that the active learning approach to multiple class support vector machines often requires significantly less labeled images to maintain the same accuracy level as random sampling.
•Proceedings Article
Label-noise reduction with support vector machines
Sergiy Fefilatyev,Matthew Shreve,Kurt Kramer,Lawrence O. Hall,Dmitry B. Goldgof,Rangachar Kasturi,Kendra L. Daly,Andrew Remsen,Horst Bunke +8 more
- 01 Nov 2012
TL;DR: Up to 99% of all label-noise from large datasets can be detected by verifying just the support vectors of the SVM classifier, which contains almost all of these noisy labels.
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Learning to recognize plankton
Tong Luo,Kurt Kramer,Dmitry B. Goldgof,Lawrence O. Hall,Scott Samson,Andrew Remsen,Thomas L. Hopkins +6 more
- 10 Nov 2003
TL;DR: A new way to assign probability after multi-class SVM classification is developed, which is more accurate on the two data sets than a C4.5 decision tree and a cascade correlation neural network at the 95% confidence level.
Resilience of the zooplankton community in the northeast Gulf of Mexico during and after the Deepwater Horizon oil spill.
Kendra L. Daly,Andrew Remsen,Andrew Remsen,Dawn M. Outram,Heather A. Broadbent,Kurt Kramer,Kurt Kramer,Kate Dubickas +7 more
TL;DR: This paper evaluated the resilience of the zooplankton community to the Deepwater Horizon oil spill in the northeast Gulf of Mexico, by assessing abundance, biomass, spatial distribution, species composition, and diversity indices during spring, summer, and winter, May 2010 to August 2014.
21
Patent
Automatic stereological analysis of biological tissue including section thickness determination
Kurt Kramer,Peter R. Mouton,Lawrence O. Hall,Dmitry B. Goldgof,Daniel T. Elozory,Om Pavithra Bonam,Baishali Chaudhury +6 more
- 13 Feb 2012
TL;DR: In this article, a system for automatic determination of slice thickness of an image stack in a computerized stereology system, as well as automatic quantification of biological objects of interest within an identified slice of the image stack is presented.