Dan Feldman

73 papers and 551 indexed citations i.

Dan Feldman has authored 73 papers that have received a total of 551 indexed citations. This includes 32 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 14 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (14 papers), Robotics and Sensor-Based Localization (11 papers) and Machine Learning and Algorithms (10 papers). Dan Feldman is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Robotics and Sensor-Based Localization (11 papers) and Machine Learning and Algorithms (10 papers) and collaborates with scholars based in Israel, United States and Germany. Dan Feldman's co-authors include Daniela Rus, Cynthia Sung, Vladimir Braverman, Michael Beenstock and Margarita Osadchy and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports