Advances in Machine Learning and Signal Processing [electronic resource] : Proceedings of MALSIP 2015 / edited by Ping Jack Soh, Wai Lok Woo, Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Shakir Saat.
Contributor(s): Soh, Ping Jack [editor.]
| Woo, Wai Lok [editor.] | Sulaiman, Hamzah Asyrani [editor.] | Othman, Mohd Azlishah [editor.] | Saat, Mohd Shakir [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Electrical Engineering: 387Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: IX, 312 p. 139 illus., 88 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319322131.Subject(s): Signal processing | Computational intelligence | Computer vision | Signal, Speech and Image Processing | Computational Intelligence | Computer VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
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Springer Nature eBookSummary: 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 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. .
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 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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