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1. |
Record Nr. |
UNINA990005548690403321 |
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Autore |
Pierleoni, G. |
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Titolo |
Ercolano / G. Pierleoni |
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Pubbl/distr/stampa |
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Milano, : Societa editrice Dante Alighieri di Albrighi, Segati & Co., [1927] |
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Descrizione fisica |
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Locazione |
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Collocazione |
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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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Estr. dall'Annuario del R. Liceo Ginnasio G. Garibaldi in Napoli, anno III, 1926-27 |
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2. |
Record Nr. |
UNINA9910729299903321 |
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Autore |
Blanchard Lynda-ann |
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Titolo |
Ending War, Building Peace |
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Pubbl/distr/stampa |
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Sydney : , : Sydney University Press, , 2010 |
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©2009 |
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ISBN |
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9781743328323 |
174332832X |
9781743321133 |
1743321139 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (197 pages) |
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Altri autori (Persone) |
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Soggetti |
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Peace-building |
Nonviolence |
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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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Nota di contenuto |
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ENDING WAR, BUILDING PEACE -- Ending war, building peace -- More than conference proceedings -- Collaborative dialogue -- References -- Thinking war, crafting peace: a future for Iraq and civil liberties in Australia -- The fascination with violence and with war -- A lesson from poetry: when will they ever learn -- Thinking and crafting peace -- Peace settlement and humanitarian service -- And civil liberties in Australia -- Back to Iraq -- References -- The fascination with violence -- The venerated and unexamined violence in everyday life -- Commemorated violence -- Sacrifice -- Money in war -- Junk politics -- Ur-fascism -- Divine justice -- Final thoughts -- References -- Iraq, six years on: the human consequences of a dirty war -- A web of illusions -- Body count: no place to hide -- What is to be done? -- References -- The human and environmental costs of the Iraq and other wars -- Human security costs |
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Sommario/riassunto |
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The US-led invasion and occupation of Iraq led to more than a million people being killed, displaced five million from their homes and shattered countless more lives. It was a colossal, premeditated war crime. Leaders of governments in the countries responsible for this enormity seek to minimise and forget about it: to 'move on'. We must not let them, because they want to retain the option of making the same political decisions, condemning more innocent people to death, somewhere else in the future. |
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3. |
Record Nr. |
UNINA9910865233003321 |
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Autore |
Zhang Zheng (College teacher) |
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Titolo |
Binary Representation Learning on Visual Images : Learning to Hash for Similarity Search / / by Zheng Zhang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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9789819721122 |
9789819721115 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (210 pages) |
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Disciplina |
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Soggetti |
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Information storage and retrieval systems |
Image processing |
Artificial intelligence - Data processing |
Information Storage and Retrieval |
Image Processing |
Data Science |
Sistemes d'informació |
Processament d'imatges |
Intel·ligència artificial |
Llibres electrònics |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Introduction -- Chapter 2. Scalable Supervised Asymmetric Hashing -- Chapter 3. Inductive Structure Consistent Hashing -- Chapter 4. Probability Ordinal-preserving Semantic Hashing -- Chapter 5. Ordinal-preserving Latent Graph Hashing -- Chapter 6. Deep Collaborative Graph Hashing -- Chapter 7. Semantic-Aware Adversarial Training -- Index. |
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Sommario/riassunto |
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This book introduces pioneering developments in binary representation learning on visual images, a state-of-the-art data transformation methodology within the fields of machine learning and multimedia. Binary representation learning, often known as learning to hash or hashing, excels in converting high-dimensional data into compact binary codes meanwhile preserving the semantic attributes and |
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maintaining the similarity measurements. The book provides a comprehensive introduction to the latest research in hashing-based visual image retrieval, with a focus on binary representations. These representations are crucial in enabling fast and reliable feature extraction and similarity assessments on large-scale data. This book offers an insightful analysis of various research methodologies in binary representation learning for visual images, ranging from basis shallow hashing, advanced high-order similarity-preserving hashing, deep hashing, as well as adversarial and robust deep hashing techniques. These approaches can empower readers to proficiently grasp the fundamental principles of the traditional and state-of-the-art methods in binary representations, modeling, and learning. The theories and methodologies of binary representation learning expounded in this book will be beneficial to readers from diverse domains such as machine learning, multimedia, social network analysis, web search, information retrieval, data mining, and others. |
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