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Unsupervised learning in space and time a modern approach for computer vision using graph-based techniques and deep neural networks /: a modern approach for computer vision using graph-based techniques and deep neural networks. (2020)
Record Type:
Book
Title:
Unsupervised learning in space and time a modern approach for computer vision using graph-based techniques and deep neural networks /: a modern approach for computer vision using graph-based techniques and deep neural networks. (2020)
Main Title:
Unsupervised learning in space and time a modern approach for computer vision using graph-based techniques and deep neural networks
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.
Note: Includes bibliographical references and index.
Access Rights:
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.