Unsupervised Learning in Space and Time: a modern approach for computer vision using graph-based techniques and deep neural networks / Marius Leordeanu.

By:

Leordeanu, Marius

Material type:

TextSeries: Advances in computer vision and pattern recognitionPublication details: Cham, Switzerland : Springer, 2020.Description: 298 Pages; 23 cmSubject(s):

DDC classification:

006.3/1 23

LOC classification:

Q325.5 .L587 2020

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Notes	Barcode
Books	Rabdan Academy General Stacks	General Collection	Q325.5 .L587 2020 (Browse shelf(Opens below))	C. 1	Available	AED 355.95	22064

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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.

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