Advances in Machine Learning and Signal Processing

Proceedings of MALSIP 2015

Ping Jack Soh, Wai Lok Woo, Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Shakir Saat (Herausgeber)

Buch | Hardcover

IX, 312 Seiten

2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-32212-4 (ISBN)

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Thisbook presents important research findings and recent innovations in the fieldof machine learning and signal processing. A wide range of topics relating to machinelearning and signal processing techniques and their applications are addressed inorder to provide both researchers and practitioners with a valuable resourcedocumenting the latest advances and trends. The book comprises a carefulselection of the papers submitted to the 2015 International Conference on MachineLearning and Signal Processing (MALSIP 2015), which was held on 15-17 December2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers,academicians, and practitioners an ideal opportunity to disseminate theirfindings and achievements. All of the included contributions were chosen byexpert peer reviewers from across the world on the basis of their interest tothe community. In addition to presenting the latest in design, development, andresearch, the book provides access to numerous new algorithms for machinelearning and signal processing for engineering problems.

Erscheinungsdatum	08.10.2016
Reihe/Serie	Lecture Notes in Electrical Engineering
Zusatzinfo	IX, 312 p. 139 illus., 88 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	642 g
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	Computational Intelligence • DSP architectures and Implementation • Engineering • Image Processing • image processing and computer vision • machine learning algorithms • Multimedia Signal Processing • Neural networks • radar signal processing • Signal, Image and Speech Processing • Signal Processing for Communications • Speech processing • Statistical Signal Processing
ISBN-10	3-319-32212-5 / 3319322125
ISBN-13	978-3-319-32212-4 / 9783319322124
Zustand	Neuware