Paper Abstract We propose to leverage concept-level representations for complex event recognition in photographs given limited training examples. We introduce a novel framework to discover event concept attributes from the web and use that to extract semantic features from images and classify them into social event categories with few training examples. Discovered concepts include a variety of objects, scenes, […]
Presentation at the Machine Learning Center at GA Tech on "The New Machine Learning Center at GA Tech: Plans and Aspirations"
Machine Learning at Georgia Tech Seminar Series Speaker: Irfan EssaDate/Time: March 1, 2017, 12n Abstract The Interdisciplinary Research Center (IRC) for Machine Learning at Georgia Tech (ML@GT) was established in Summer 2016 to foster research and academic activities in and around the discipline of Machine Learning. This center aims to create a community that leverages […]