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Record Nr. |
UNINA9910254216003321 |
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Titolo |
Advances in Machine Learning and Signal Processing : Proceedings of MALSIP 2015 / / edited by Ping Jack Soh, Wai Lok Woo, Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Shakir Saat |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (IX, 312 p. 139 illus., 88 illus. in color.) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1100 ; ; 387 |
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Disciplina |
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Soggetti |
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Signal processing |
Image processing |
Speech processing systems |
Computational intelligence |
Optical data processing |
Signal, Image and Speech Processing |
Computational Intelligence |
Image Processing and Computer Vision |
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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 at the end of each chapters. |
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Sommario/riassunto |
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This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range of topics relating to machine learning and signal processing techniques and their applications are addressed in order to provide both researchers and practitioners with a valuable resource documenting the latest advances and trends. The book comprises a careful selection of the papers submitted to the 2015 International Conference on Machine Learning and Signal Processing (MALSIP 2015), which was held on 15–17 December 2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers, academicians, and practitioners an ideal opportunity to disseminate their findings and achievements. All of the included contributions were chosen by expert peer reviewers from across the world on the basis of their interest to the community. In |
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addition to presenting the latest in design, development, and research, the book provides access to numerous new algorithms for machine learning and signal processing for engineering problems. . |
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