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1. |
Record Nr. |
UNISA996397122503316 |
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Autore |
Tillotson John <1630-1694.> |
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Titolo |
Sermons preach'd upon several occasions [[electronic resource] ] : By John Tillotson, D.D. Dean of Canterbury, preacher to the Honourable Society of Lincolns-Inn, and one of His Majesties chaplains in ordinary. The first volume |
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Pubbl/distr/stampa |
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London, : printed for Ed. Gellibrand, at the Golden Ball in St. Paul's Church-yard, 1680 |
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Edizione |
[The fourth edition corrected.] |
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Descrizione fisica |
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Soggetti |
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Sermons, English - 17th century |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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With an initial imprimatur leaf, dated Aug. 23. 1677, which is sig. [A2], sig. [A1] being a blank leaf. |
Marginal notes. |
Reproduction of the original in the Magdalene College Library, Cambridge. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910483714403321 |
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Titolo |
Machine Learning in Medical Imaging : 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings / / edited by Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (XII, 341 p. 128 illus.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 9352 |
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Disciplina |
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Soggetti |
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Computer vision |
Pattern recognition systems |
Medical informatics |
Data mining |
Artificial intelligence |
Computer Vision |
Automated Pattern Recognition |
Health Informatics |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015. The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging. . |
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