Marius Lysaker – författare

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6 produkter

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6 produkter

Del 8932 - Lecture Notes in Computer Science
Energy Minimization Methods in Computer Vision and Pattern Recognition
10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
AvXue-Cheng Tai,Egil Baem. fl.
Häftad, Engelska, 2014
563 kr
Skickas inom 10-15 vardagar
This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
Energy Minimization Methods in Computer Vision and Pattern Recognition
10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
AvMarius Lysaker,Tony F. Chanm. fl.
E-bok
PDF, Engelska, 2015
732 kr
Läs direkt efter köp
This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.
Imaging, Vision and Learning Based on Optimization and PDEs
IVLOPDE, Bergen, Norway, August 29 – September 2, 2016
AvXue-Cheng Tai,Egil Baem. fl.
Inbunden, Engelska, 2018
546 kr
Skickas inom 10-15 vardagar
This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.
Imaging, Vision and Learning Based on Optimization and PDEs
IVLOPDE, Bergen, Norway, August 29 – September 2, 2016
AvMarius Lysaker,Egil Baem. fl.
E-bok
Engelska, 2018
710 kr
Läs direkt efter köp
This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs).
It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms.
This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.
Scale Space and Variational Methods in Computer Vision
Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
AvXue-Cheng Tai,Knut Morkenm. fl.
Häftad, Engelska, 2009
1 118 kr
Skickas inom 10-15 vardagar
This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision. Topics covered in the book range from mathematical analysis of both established and new models, fast numerical methods, image analysis, segmentation, registration, surface and shape construction and processing, to real applications in medical imaging and computer vision. The ideas of scale spaceandvariationalmethodsrelatedtopartialdi?erentialequationsarecentral concepts. The papers re?ect the newest developments in these ?elds and also point to the latest literature. All the papers were submitted to the Second International Conference on Scale Space and Variational Methods in Computer Vision, which took place in Voss, Norway, during June 1–5, 2009. The papers underwent a peer review process similar to that of high-level journals in the ?eld. We thank the authors, the Scienti?c Committee, the Program Committee and the reviewers for their hard work and helpful collaboration. Their contribution has been crucial for the e?cient processing of this book, and for the success of the conference.
Scale Space and Variational Methods in Computer Vision
Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
AvKnut-Andreas Lie,Marius Lysakerm. fl.
E-bok
PDF, Engelska, 2009
1 455 kr
Läs direkt efter köp
This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision. Topics covered in the book range from mathematical analysis of both established and new models, fast numerical methods, image analysis, segmentation, registration, surface and shape construction and processing, to real applications in medical imaging and computer vision. The ideas of scale spaceandvariationalmethodsrelatedtopartialdi?erentialequationsarecentral concepts. The papers re?ect the newest developments in these ?elds and also point to the latest literature. All the papers were submitted to the Second International Conference on Scale Space and Variational Methods in Computer Vision, which took place in Voss, Norway, during June 1–5, 2009. The papers underwent a peer review process similar to that of high-level journals in the ?eld. We thank the authors, the Scienti?c Committee, the Program Committee and the reviewers for their hard work and helpful collaboration. Their contribution has been crucial for the e?cient processing of this book, and for the success of the conference.

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Marius Lysaker – författare

Energy Minimization Methods in Computer Vision and Pattern Recognition

Energy Minimization Methods in Computer Vision and Pattern Recognition

Imaging, Vision and Learning Based on Optimization and PDEs

Imaging, Vision and Learning Based on Optimization and PDEs

Scale Space and Variational Methods in Computer Vision

Scale Space and Variational Methods in Computer Vision

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