Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks - Tapa blanda

Libro 75 de 86: Advances in Computer Vision and Pattern Recognition

Leordeanu, Marius

 
9783030421298: Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks
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ISBN 10: 3030421295 ISBN 13: 9783030421298
Editorial: Springer, 2020

Esta edición ISBN ya no está disponible.

Sinopsis

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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Editorial
Springer
Año de publicación
2020
Idioma
Inglés
ISBN 10 
3030421295
ISBN 13 
9783030421298
Encuadernación
Taschenbuch
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9783030421274: Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks (Advances in Computer Vision and Pattern Recognition)

Edición Destacada

ISBN 10:  3030421279 ISBN 13:  9783030421274
Editorial: Springer, 2020
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