The Merlin Bird Photo ID mobile app can identify hundreds of North American bird species it “sees” in photos. The app was developed by Caltech and Cornell Tech computer vision researchers in partnership with the Cornell Lab of Ornithology and bird enthusiasts.
Serge Belongie is a professor at Cornell Tech and the Cornell Computer Science Department. He received a B.S. (with honor) in EE from Caltech in 1995 and a Ph.D. in EECS from Berkeley in 2000. While at Berkeley, his research was supported by an NSF Graduate Research Fellowship. From 2001-2013 he was a professor in the Department of Computer Science and Engineering at University of California, San Diego.
His research interests include Computer Vision, Machine Learning, Crowdsourcing and Human-in-the-Loop Computing. He is also a co-founder of several companies including Digital Persona, Anchovi Labs (acquired by Dropbox) and Orpix. He is a recipient of the NSF CAREER Award, the Alfred P. Sloan Research Fellowship and the MIT Technology Review "Innovators Under 35" Award.
Applied Machine Learning
This course will help students learn and apply key concepts of modeling, analysis and validation from Machine Learning, Data Mining and Signal Processing to analyze and extract meaning from data. Students will implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. They will also gain a working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining and dimensionality reduction.