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UofH_City_Campus_Nitzan_Zohar_01-2020-08

Prof. DAN FELDMAN

Prof. Feldman is a worldwide leader and main developer both in academy and industry for the research field known as core sets: a provably small and problem dependent data reduction.  While the theory is based on deep computational geometry, (current\modern) applications include Machine/Deep learning of Big Data, Robotics, Computer Vision, Cybersecurity, and many more. 

RECENT PUBLICATIONS

Turning Big Data Into Tiny Data: Constant-Size Coresets for -Means, PCA, and Projective Clustering
Dan Feldman, Melanie Schmidt, Christian Sohler; SIAM Journal on Computing 49 (3), 601-657
k-Means+++: Outliers-Resistant Clustering
A Statman, L Rozenberg, D Feldman
Measuring and protecting privacy in the always-on era
D Feldman, E Haber; Berkeley Tech. LJ 35, 197
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