Christine Piatko
Christine Diane Piatko is a computer scientist known for her heavily cited publications on k-means clustering, high-dynamic-range imaging, computer graphics, and document classification.
Piatko is a 1986 graduate of New York University[1] with a B.A. in Mathematics and Computer Science.[2] She completed her Ph.D. in 1993 at Cornell University. Her dissertation, Geometric Bicriteria Optimal Path Problems, was supervised by Joseph S. B. Mitchell.[3] She is an assistant research professor in the computer science department at Johns Hopkins University, and a research computer scientist in the Johns Hopkins Applied Physics Laboratory.[1]
References
[edit]- ^ a b Christine Piatko, Johns Hopkins University, retrieved 2019-09-22
- ^ Author biography from Mount, D.M.; Kanungo, T.; Netanyahu, N.S.; Piatko, C.; Silverman, R.; Wu, A.Y. (December 2001), "Approximating large convolutions in digital images", IEEE Transactions on Image Processing, 10 (12): 1826–1835, Bibcode:2001ITIP...10.1826M, doi:10.1109/83.974567, ISSN 1941-0042, PMID 18255522
- ^ Christine Piatko at the Mathematics Genealogy Project
External links
[edit]- Christine Piatko publications indexed by Google Scholar