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Imaging, vision and learning based o...

Bae, Egil.

Imaging, vision and learning based on optimization and PDEsIVLOPDE, Bergen, Norway, August 29 - September 2, 2016 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Imaging, vision and learning based on optimization and PDEsedited by Xue-Cheng Tai, Egil Bae, Marius Lysaker.
其他題名:	IVLOPDE, Bergen, Norway, August 29 - September 2, 2016 /
其他作者:	Tai, Xue-Cheng.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	viii, 255 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Image processingCongresses.Mathematics
電子資源:	https://doi.org/10.1007/978-3-319-91274-5
ISBN:	9783319912745$q(electronic bk.)

Imaging, vision and learning based on optimization and PDEsIVLOPDE, Bergen, Norway, August 29 - September 2, 2016 /
Imaging, vision and learning based on optimization and PDEsIVLOPDE, Bergen, Norway, August 29 - September 2, 2016 /[electronic resource] :edited by Xue-Cheng Tai, Egil Bae, Marius Lysaker. - Cham :Springer International Publishing :2018. - viii, 255 p. :ill., digital ;24 cm. - Mathematics and visualization,1612-3786. - Mathematics and visualization..

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.

ISBN: 9783319912745$q(electronic bk.)

Standard No.: 10.1007/978-3-319-91274-5doiSubjects--Topical Terms:

439192
Image processing
--Mathematics--Congresses.

LC Class. No.: TA1637.5 / .I434 2018

Dewey Class. No.: 621.367028553

Imaging, vision and learning based on optimization and PDEsIVLOPDE, Bergen, Norway, August 29 - September 2, 2016 /
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