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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 ; ; 10597 |
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Disciplina |
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Soggetti |
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Special purpose computers |
Artificial intelligence |
Natural language processing (Computer science) |
Optical data processing |
Biometrics (Biology) |
Special Purpose and Application-Based Systems |
Artificial Intelligence |
Natural Language Processing (NLP) |
Image Processing and 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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