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1. |
Record Nr. |
UNINA9910957093703321 |
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Autore |
Chudnovsky Daniel |
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Titolo |
The Elusive Quest for Growth in Argentina / / by D. Chudnovsky, A. López |
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Pubbl/distr/stampa |
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New York : , : Palgrave Macmillan US : , : Imprint : Palgrave Macmillan, , 2007 |
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ISBN |
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9786611363352 |
9781281363350 |
1281363359 |
9780230604278 |
0230604277 |
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Edizione |
[1st ed. 2007.] |
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Descrizione fisica |
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1 online resource (236 pages) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Development economics |
Economic development |
Ethnology - Latin America |
Culture |
Economic history |
Economics |
Development Economics |
Development Studies |
Latin American Culture |
Economic History |
Political Economy and Economic Systems |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Contents; List of Tables; List of Figures; List of Abbreviations; Preface; Acknowledgments; Chapter 1 Introduction: The End of Panaceas; from the Postwar Consensus to the Post-Washington Consensus; Chapter 2 Argentina's Economy in a Long-Term View; Chapter 3 The Import-Substitution Industrialization, 1962-1974; Chapter 4 The Long Recession, 1975-1990; Chapter 5 Structural Reforms and Complementary Policies during the 1990's; Chapter 6 |
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Economic and Social Performance during Convertibility "High Growth" Years |
Chapter 7 The Microeconomics of Industrial Restructuring during the Convertibility Era Chapter 8 From Crisis to Recovery, 1998-2006; Chapter 9 Conclusions and Policy Implications; Notes; Bibliography; Index |
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Sommario/riassunto |
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This book explores a big puzzle in development economics - why Argentina, despite rich natural resources and ample human capital, has endured such poor growth performance. The authors use rigorous economic analysis and an institutional and historical approach to show what went wrong, in a timely contribution to the sustainable development debate. |
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2. |
Record Nr. |
UNINA9910953877803321 |
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Autore |
Pfeifer Lienhard |
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Titolo |
Pedestrian Detection Algorithms using Shearlets |
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Pubbl/distr/stampa |
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Berlin, : Logos Verlag, 2019 |
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ISBN |
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Descrizione fisica |
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Online-Ressource (186 S.) |
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Disciplina |
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Soggetti |
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Künstliche Intelligenz |
Bildverarbeitung |
Deep Learning |
Autonomes Fahrzeug |
Objekterkennung |
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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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PublicationDate: 20190115 |
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Sommario/riassunto |
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Long description: In this thesis, we investigate the applicability of the shearlet transform for the task of pedestrian detection. Due to the usage of in several emerging technologies, such as automated or autonomous vehicles, pedestrian detection has evolved into a key topic of research in the last decade. In this time period, a wealth of different |
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algorithms has been developed. According to the current results on pedestrian detection benchmarks, the algorithms can be divided into two categories. First, application of hand-crafted image features and of a classifier trained on these features. Second, methods using Convolutional Neural Networks in which features are learned during the training phase. It is studied how both of these types of procedures can be further improved by the incorporation of shearlets, a framework for image analysis which has a comprehensive theoretical basis. To this end, we adapt the shearlet framework according to the requirements of the practical application of pedestrian detection algorithms. One main application area of pedestrian detection is located in the automotive domain. In this field, algorithms have to be runable on embedded devices. Therefore, we study the embedded realization of a pedestrian detection algorithm based on the shearlet transform. |
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