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Makeshift Dictionary Learning on Discrete-valued Texture Pairings
Makeshift Dictionary Learning on Discrete-valued Texture Pairings – In this paper, we propose a novel methodology to identify and label the regions of the face that are not visible in the real world. Our dataset collected from the Flickr Creative Commons.net dataset, called U3D faces, contains over 2.3 billion images with 3,926,115 textures. Thus, we […]