Search results
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Title
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Dynamic View Selection for Human Motion Analysis in Camera Networks
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Author
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Spurlock, Scott
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Date Created
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2015
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Description
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Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face a trade-off between accuracy and speed, with the most accurate methods havin...
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Title
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Dynamic View Selection for Human Motion Analysis in Camera Networks
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Author
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Spurlock, Scott
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Date Created
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2015
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Subjects--Topical
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Computer science
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Description
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Automated human activity analysis for multi-camera networks requires algorithms that are both accurate and efficient for practical, real-time use. Current approaches face a trade-off between accuracy and speed, with the most accurate methods havin...
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Title
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Fine-grained Video Classification for Rare Events
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Author
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Shan, Junjie
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Date Created
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2018
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Description
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Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most challenging problems in video analysis due to subtle difference between classes an...
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Title
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Fine-grained Video Classification for Rare Events
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Author
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Shan, Junjie
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Date Created
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2018
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Subjects--Topical
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Computer science, Information technology
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Description
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Video analysis plays an important role in the field of computer vision and finds its application in many areas. Fine-grained event classification is one of the most challenging problems in video analysis due to subtle difference between classes an...
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Title
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Weakly Supervised Learning on Image Manifolds
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Author
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Wu, Hui
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Date Created
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2015
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Description
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Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...
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Title
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Weakly Supervised Learning on Image Manifolds
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Author
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Wu, Hui
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Date Created
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2015
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Description
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Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...
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Title
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Weakly Supervised Learning on Image Manifolds
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Author
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Wu, Hui
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Date Created
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2015
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Subjects--Topical
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Computer science
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Description
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Recent work in image manifold learning has shown the prevalence of unsupervised methods that provide compact representation and perceptually meaningful organization of images in certain types of natural image sets. However, in situations where a d...