Machine learning for computer vision
Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Sum...
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| Další autoři: | , , |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2013. |
| Edice: | Studies in Computational Intelligence
411 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine Learning for Computer Vision, Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella (Eds.), Berlin, Springer, 2013, 1 vol. (250 p.), Studies in Computational Intelligence, 978-3-642-28660-5 • Machine Learning for Computer Vision, Texte imprimé, 9783642286629 • Machine Learning for Computer Vision, Texte imprimé, 9783642446863 • Machine Learning for Computer Vision, Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella (Eds.), Berlin, Springer, 2013, 1 vol. (250 p.), Studies in Computational Intelligence, 978-3-642-28660-5 |
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| 100 | 1 | |a Cipolla, Roberto. | |
| 245 | 1 | 0 | |a Machine learning for computer vision |c edited by Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 411 |x 1860-9503 | |
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| 505 | 1 | |a Throwing Down the Visual Intelligence Gauntlet Actionable Information in Vision Learning Binary Hash Codes for Large-Scale Image Search Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition Real-Time Human Pose Recognition in Parts from Single Depth Images Scale-Invariant Vote-based 3D Recognition and Registration from Point Clouds Multiple Classifier Boosting and Tree-Structured Classifiers Simultaneous detection and tracking with multiple cameras Applications of Computer Vision to Vehicles: an extreme test | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature | ||
| 700 | 1 | |a Battiato, Sebastiano. |4 edt | |
| 700 | 1 | |a Farinella, Giovanni Maria. |4 edt | |
| 700 | 1 | |a Cipolla, Roberto, |d 1963- |4 pbd | |
| 700 | 1 | |a Battiato, Sebastiano. |4 pbd | |
| 700 | 1 | |a Farinella, Giovanni Maria. |4 pbd | |
| 776 | 0 | |0 170847829 |t Machine Learning for Computer Vision |f Roberto Cipolla, Sebastiano Battiato, Giovanni Maria Farinella (Eds.) |c Berlin |n Springer |d 2013 |p 1 vol. (250 p.) |s Studies in Computational Intelligence |z 978-3-642-28660-5 | |
| 776 | 0 | |t Machine Learning for Computer Vision |b Texte imprimé |z 9783642286629 | |
| 776 | 0 | |t Machine Learning for Computer Vision |b Texte imprimé |z 9783642446863 | |
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