Bonev boyán (15 Ergebnisse)
- Softcover
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Zustand: New. pp. 412 126 Illus.
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Paperback. Zustand: Brand New. reprint edition. 272 pages. 9.50x6.50x0.50 inches. In Stock.
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Zustand: New. pp. 272.
- Softcover
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EUR 40,95
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Taschenbuch. Zustand: Neu. Neuware - AN AUTHORITATIVE SURVEY OF CURRENT RESEARCH INTO CLINICALLY USEFUL CONVENTIONAL AND NONCONVENTIONAL ANTIBIOTIC THERAPEUTICS Pharmaceutically-active antibiotics revolutionized the treatment of infectious diseases, leading to decreased mortality and increased life expectancy. However, recent ye…ars have seen an alarming rise in the number and frequency of antibiotic-resistant 'Superbugs.' The Centers for Disease Control and Prevention (CDC) estimates that over two million antibiotic-resistant infections occur in the United States annually, resulting in approximately 23,000 deaths. Despite the danger to public health, a minimal number of new antibiotic drugs are currently in development or in clinical trials by major pharmaceutical companies. To prevent reverting back to the pre-antibiotic era-when diseases caused by parasites or infections were virtually untreatable and frequently resulted in death-new and innovative approaches are needed to combat the increasing resistance of pathogenic bacteria to antibiotics. Bacterial Resistance to Antibiotics - From Molecules to Manexamines the current state and future direction of research into developing clinically-useful next-generation novel antibiotics. An internationally-recognized team of experts cover topics including glycopeptide antibiotic resistance, anti-tuberculosis agents, anti-virulence therapies, tetracyclines, the molecular and structural determinants of resistance, and more. - Presents a multidisciplinary approach for the optimization of novel antibiotics for maximum potency, minimal toxicity, and appropriated degradability - Highlights critical aspects that may relieve the problematic medical situation of antibiotic resistance - Includes an overview of the genetic and molecular mechanisms of antibiotic resistance - Addresses contemporary issues of global public health and longevity - Includes full references, author remarks, and color illustrations, graphs, and charts Bacterial Resistance to Antibiotics - From Molecules to Manis a valuable source of up-to-date information for medical practitioners, researchers, academics, and professionals in public health, pharmaceuticals, microbiology, and related fields.
- Softcover
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Zustand: New. Über den AutorBOYAN B. BONEV is Associate Professor in Biophysics and Structural Biology, Faculty of Medicine & Health Sciences, University of Nottingham, UK. Dr. Bonev heads the Biomembrane NMR labs and is co-Director of .
- Softcover
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EUR 113,24
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Zustand: New. Num Pages: 400 pages. BIC Classification: PSAF. Category: (P) Professional & Vocational. Dimension: 246 x 189. . . 2019. 1st Edition. paperback. . . . . Books ship from the US and Ireland.
Information Theory in Computer Vision and Pattern Recognition
Escolano Ruiz, Francisco; Suau Pérez, Pablo; Bonev, Boyán Ivanov
- Softcover
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InformationTheory in Computer Visionand Pattern Recognition
Escolano Ruiz, Francisco; Suau Pérez, Pablo; Bonev, Boyán Ivanov
- Hardcover
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- Softcover
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EUR 62,00
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Taschenbuch. Zustand: Neu. Bacterial Resistance to Antibiotics | From Molecules to Man | Boyan B Bonev (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Wiley | EAN 9781119940777 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Information Theory in Computer Vision and Pattern Recognition
Escolano, Francisco/ Suau, Pablo/ Bonev, Boyan/ Yuille, Alan (Foreward By)
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 394 pages. 9.75x6.25x1.00 inches. In Stock.
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Information theory has proved to be effective for solving many computer visionand pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier design and many othe…rs). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information.), principles (maximum entropy, minimax entropy.) and theories (rate distortion theory, method of types.).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.
Information Theory in Computer Vision and Pattern Recognition
Francisco Escolano Ruiz, Boyán Ivanov Bonev, Pablo Suau Pérez
- Hardcover
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EUR 65,87
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier desig…n and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information¿), principles (maximum entropy, minimax entropy¿) and theories (rate distortion theory, method of types¿).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.
Information Theory in Computer Vision and Pattern Recognition
Francisco Escolano Ruiz, Boyán Ivanov Bonev, Pablo Suau Pérez
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifier desig…n and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information¿), principles (maximum entropy, minimax entropy¿) and theories (rate distortion theory, method of types¿).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.
Information Theory in Computer Vision and Pattern Recognition
Francisco Escolano Ruiz, Boyán Ivanov Bonev, Pablo Suau Pérez
- Hardcover
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image matching, clustering and segmentation, saliency detection, feature selection, optimal classifi…er design and many others). Nowadays, researchers are widely bringing information theory elements to the CVPR arena. Among these elements there are measures (entropy, mutual information¿), principles (maximum entropy, minimax entropy¿) and theories (rate distortion theory, method of types¿).This book explores and introduces the latter elements through an incremental complexity approach at the same time where CVPR problems are formulated and the most representative algorithms are presented. Interesting connections between information theory principles when applied to different problems are highlighted, seeking a comprehensive research roadmap. The result is a novel tool both for CVPR and machine learning researchers, and contributes to across-fertilization of both areas.
