 |
ISBN
| 9783030421281 | |
DDC
| 006.37 | |
Tác giả CN
| Leordeanu, Marius | |
Nhan đề
| Unsupervised learning in space and time : A modern approach for computer vision using graph-based techniques and deep neural networks / Marius Leordeanu | |
Thông tin xuất bản
| Cham : Springer, 2020 | |
Mô tả vật lý
| 315 pages. ; cm. | |
Tóm tắt
| 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. | |
Từ khóa tự do
| Computers Computer Graphics | |
Từ khóa tự do
| Computer vision | |
Từ khóa tự do
| Image processing | |
Từ khóa tự do
| Apprentissage automatique | |
Khoa
| Khoa Cơ khí - Điện - Điện tử - Ô tô | |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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| 245 | |aUnsupervised learning in space and time : |bA modern approach for computer vision using graph-based techniques and deep neural networks / |cMarius Leordeanu |
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| 260 | |aCham : |bSpringer, |c2020 |
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| 300 | |a315 pages. ; |ccm. |
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| 520 | |aThis 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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| 653 | |aComputers Computer Graphics |
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| 653 | |aComputer vision |
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| 653 | |aImage processing |
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| 653 | |aApprentissage automatique |
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| 690 | |aKhoa Cơ khí - Điện - Điện tử - Ô tô |
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| 691 | |aCông nghệ kỹ thuật ô tô |
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| 852 | |aThư Viện Đại học Nguyễn Tất Thành |
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