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Unsupervised learning in space and time : A modern approach for computer vision using graph-based techniques and deep neural networks / Marius Leordeanu
Cham : Springer, 2020
315 pages. ; cm.
Ký hiệu phân loại (DDC): 006.37
This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning, in an unsupervised manner, from massive quantities of spatiotemporal visual data that are available at low cost. The book covers important scientific discoveries and findings, with a focus on the latest advances in the field. Presenting a coherent structure, the book logically connects novel mathematical formulations and efficient computational solutions for a range of unsupervised learning tasks, including visual feature matching, learning and classification, object discovery, and semantic segmentation in video.
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