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1. |
Record Nr. |
UNINA9910483995003321 |
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Titolo |
Pattern Recognition and Machine Intelligence : 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings / / edited by B. Uma Shankar, Kuntal Ghosh, Deba Prasad Mandal, Shubhra Sankar Ray, David Zhang, Sankar K. Pal |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XXVIII, 695 p. 238 illus.) |
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Collana |
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Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 10597 |
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Disciplina |
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Soggetti |
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Computers, Special purpose |
Artificial intelligence |
Natural language processing (Computer science) |
Computer vision |
Biometric identification |
Special Purpose and Application-Based Systems |
Artificial Intelligence |
Natural Language Processing (NLP) |
Computer Vision |
Biometrics |
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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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Nota di contenuto |
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Pattern recognition and machine learning -- Signal and image processing -- Computer vision and video processing -- Soft and natural computing -- Speech and natural language processing -- Bioinformatics and computational biology -- Data mining and big data analytics -- Deep learning -- Spatial data science and engineering -- Applications of pattern recognition and machine intelligence. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed |
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and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence. |
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2. |
Record Nr. |
UNINA9910149559303321 |
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Autore |
Turner Jonathan H. |
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Titolo |
Theoretical sociology : a concise introduction to twelve sociological theories / / Jonathan H. Turner |
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Pubbl/distr/stampa |
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Los Angeles : , : SAGE Publications, , 2017 |
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ISBN |
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9781506374635 |
1506374638 |
9781483321257 |
1483321258 |
9781483310824 |
1483310825 |
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Descrizione fisica |
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1 online resource (271 pages) : illustrations |
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Disciplina |
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Soggetti |
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Sociology - History |
Sociology - Philosophy |
Sociology |
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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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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. Theoretical sociology today -- chapter 2. Functional theorizing -- chapter 3. Conflict theorizing -- chapter 4. Ecological theorizing -- chapter 5. Exchange theorizing -- chapter 6. Symbolic interactionist theorizing -- chapter 7. Dramaturgical theorizing -- chapter 8. Structural theorizing -- chapter 9. Cultural theorizing -- chapter 10. Critical theorizing on modernity and postmodernity -- chapter 11. Stage-model evolutionary theorizing -- chapter 12. |
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Biologically inspired evolutionary theorizing. |
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Sommario/riassunto |
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What can sociological theory tell us about the basic forces that shape our world? </em>With clarity and authority, leading theorist Jonathan H. Turner seeks to answer this question through a brief, yet in-depth examination of twelve major sociological theories. Readers are given an opportunity to explore the foundational premise of each theory and key elements that make it distinctive. The book draws on biographical background, analysis of important works, historical influences, and other critical insights to help readers make the important connections between these monumental sociological theories and the social world in which we live. This concise resource is a perfect complement to any course that seeks to examine both classic and contemporary sociological theory. |
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