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Leordeanu, Marius.

Unsupervised Learning in Space and Time: a modern approach for computer vision using graph-based techniques and deep neural networks / Marius Leordeanu. - Cham, Switzerland : Springer, 2020. - 298 Pages; 23 cm. - Advances in Computer Vision and Pattern Recognition . - Advances in computer vision and pattern recognition. .

1. Unsupervised Visual Learning: from Pixels to Seeing -- 2. Unsupervised Learning of Graph and Hypergraph Matching -- 3. Unsupervised Learning of Graph and Hypergraph Clustering -- 4. Feature Selection meets Unsupervised Learning -- 5. Unsupervised Learning of Object Segmentation in Video with Highly Probable Positive Features -- 6. Coupling Appearance and Motion: Unsupervised Clustering for Object Segmentation through Space and Time -- 7. Unsupervised Learning in Space and Time over Several Generations of Teacher and Student Networks -- 8. Unsupervised Learning Towards the Future.

ISBN:

Standard No.: 10.1007/978-3-030-42128-1 doi

Source: com.springer.onix.9783030421281 Springer Nature

Nat. Bib. No.: GBC077432 bnb

Subjects--Topical Terms:
Machine learning.
Computer vision.

LC Class. No.: Q325.5 / .L587 2020

Dewey Class. No.: 006.3/1