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ECE PhD Defense: "Robust Unsupervised Subspace Learning for Visual Representation," Handong Zhao

Abstract: As the digital technology develops, a large amount of visual data (image and video) are captured and shared every day in the social media. It is the fact that most data are lack of organization and the tags or labels are barely available for the most cases. To represent the unlabeled visual data for different purposes, extensive efforts have been made in both industry and academia. For instance, Apple launched their face clustering application in iPhone iOS-10 system to help users organize their photos by human identity. While it suffers from many criticisms, including poor...

Wednesday, September 13, 2017 at 12:00pm





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