Geometric representations and deep Gaussian conditional random field networks for computer vision
<p> Representation and context modeling are two important factors that are critical in the design of computer vision algorithms. For example, in applications such as skeleton-based human action recognition, representations that capture the 3D skeletal geometry are crucial for achieving good ac...
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| Language: | EN |
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University of Maryland, College Park
2017
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10192530 |