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Computer Vision, Imaging and Computer Graphics - Theory and Applications: International Joint Conference, Visigrapp 2011, Vilamoura, Portugal, March 5
ISBN: 9783642323492 / Angielski / Miękka / 2013 / 271 str. Termin realizacji zamówienia: ok. 20 dni roboczych. This book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2011, the Joint Conference on Computer Vision, Theory and Applications (VISAPP), on Imaging Theory and Applications (IMAGAPP), on Computer Graphics Theory and Applications (GRAPP), and on Information Visualization Theory and Applications (IVAPP), held in Vilamoura, Portugal, in March 2011. The 15 revised full papers presented together with one invited paper were carefully reviewed and selected. The papers are organized in topical sections on computer graphics theory and applications; imaging theory and...
This book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2011, the Joint Conference on Computer Vision, Theory and Ap...
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cena:
192,30 zł |
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Domain Adaptation in Computer Vision Applications
ISBN: 9783319583464 / Angielski / Twarda / 2017 / 344 str. Termin realizacji zamówienia: ok. 20 dni roboczych. This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications.
This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions fo...
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cena:
576,96 zł |
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Computer Vision, Imaging and Computer Graphics - Theory and Applications: International Joint Conference, Visigrapp 2012, Rome, Italy, February 24-26,
ISBN: 9783642382406 / Angielski / Miękka / 2013 / 446 str. Termin realizacji zamówienia: ok. 20 dni roboczych. This book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2012, the Joint Conference on Computer Vision Theory and Applications (VISAPP), on Computer Graphics Theory and Applications (GRAPP), and on Information Visualization Theory and Applications (IVAPP), held in Rome, Italy, in February 2012. The 28 revised full papers presented together with one invited paper were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on computer graphics theory and applications; information visualization theory and applications;...
This book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2012, the Joint Conference on Computer Vision Theory and App...
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cena:
192,30 zł |
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Domain Adaptation in Computer Vision Applications
ISBN: 9783319863832 / Angielski / Miękka / 2018 / 344 str. Termin realizacji zamówienia: ok. 20 dni roboczych. |
cena:
576,96 zł |
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Semantic Image Segmentation: Two Decades of Research
ISBN: 9781638280767 / Angielski / Miękka / 2022 / 174 str. Termin realizacji zamówienia: ok. 13-18 dni roboczych. Semantic image segmentation (SiS) plays a fundamental role towards a general understanding of the image content and context, in a broad variety of computer vision applications, thus providing key information for the global understanding of an image. This monograph summarizes two decades of research in the field of SiS, where a literature review of solutions starting from early historical methods is proposed, followed by an overview of more recent deep learning methods, including the latest trend of using transformers. The publication is complemented by presenting particular cases of the...
Semantic image segmentation (SiS) plays a fundamental role towards a general understanding of the image content and context, in a broad variety of com...
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cena:
483,16 zł |
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Visual Domain Adaptation in the Deep Learning Era
ISBN: 9783031791703 / Angielski / Miękka / 2022 / 192 str. Termin realizacji zamówienia: ok. 20 dni roboczych. Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance. While in many situations huge volumes of unlabeled data can be and often are generated and available, the cost of acquiring data labels remains high. Transfer learning (TL), and in particular domain adaptation (DA), has emerged as an effective solution to overcome the burden of annotation, exploiting the unlabeled data available from the target domain together with labeled data or pre-trained models from similar, yet different source domains. The aim of this...
Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance. While in many sit...
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cena:
192,30 zł |
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