Nguyen van luu (21 risultati)

Condizione: New.

Couverture souple. Condizione: Assez bon. 14,5 x 21 cm brochés, 367 pages. Dos défraîchi avec plis de lecture; Plats de couverture marqués aux angles et sur les bords. Bonne tenue du brochage. Intérieur jauni sans fragilité, bon état. Voir le sommaire en image 2.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Soft cover. Condizione: Near Fine. 1st Edition. very nice copy; inscribed by someone to American author.

Condizione: New. pp. XVII, 292 109 illus. 1 Edition NO-PA16APR2015-KAP.

Paperback. Condizione: Brand New. 316 pages. 9.25x6.10x0.72 inches. In Stock.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing.…

Taschenbuch. Condizione: Neu. Interpretable and Annotation-Efficient Learning for Medical Image Computing | Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings | Jaime Cardoso (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2020 | Springer | EAN 9783030611651 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

HANOI, Ed. en Langues Etrangres - 1959 - In-8 - broché - couverture illustré & illustrations en texte de Ta Luu - 207 pages - Bel exemplaire Livres 123207665046). illustrations en texte de Ta Luu (illustratore).

Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. 233 pp., illustrations, bibliography. In English, French and Vietnamese. This photo book describes the funeral houses of ethnic groups in the Central Highlands of Viet Nam, such as the Bana, Ede, Gia Rai, Mnong, and Xo Dang people. Included are photos of these people, photos that document statues from funeral houses, and a series of photos showing the tomb abandonment ceremony and people in the region. The book is published in Vietnamese, English and French. The preamble was written by the late professor and ethnologist Nguyen Tu Chi, who devoted his lifetime to studying the region. Valuable for researchers, the book is beautifully printed, with an abundance of photos illustrating the cultural imprints of the ethnic groups in the Central Highlands.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing. 316 pp. Englisch.…

Condizione: New. Print on Demand pp. XVII, 292 109 illus.

Condizione: New. PRINT ON DEMAND pp. XVII, 292 109 illus.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, LABELS 2020, held in conjunction with the 23rd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020.The 8 full papers presented at iMIMIC 2020, 11 full papers to MIL3ID 2020, and the 10 full papers presented at LABELS 2020 were carefully reviewed and selected from 16 submissions to iMIMIC, 28 to MIL3ID, and 12 submissions to LABELS. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. MIL3ID deals with best practices in medical image learning with label scarcity and data imperfection. The LABELS papers present a variety of approaches for dealing with a limited number of labels, from semi-supervised learning to crowdsourcing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 316 pp. Englisch.…