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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.
SELECTED PROJECTS
RECENT PUBLICATIONS
Sphere Fitting with Applications to Machine Tracking
D Epstein, D Feldman; Algorithms 13 (8), 177
Autonomous Toy Drone via Coresets for Pose Estimation
S Nasser, I Jubran, D Feldman; Sensors 20 (11), 3042; 2020
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