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Kernel Methods in Bioengineering, Signal and Image Processing
Kernel Methods in Bioengineering, Signal and Image Processing
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Kernel Methods in Bioengineering, Signal and Image Processing covers real-world applications, such as computational biology, text categorization, time series prediction, interpolation, system identification, speech recognition, image de-noising, image coding, classification, and segmentation. Kernel Methods in Bioengineering, Signal and Image Processing encompasses the vast field of kernel methods from a multidisciplinary approach by presenting chapters dedicated to adaptation and use of kernel…
  • Leidėjas:
  • Metai: 2006
  • Puslapiai: 415
  • ISBN-10: 1599040425
  • ISBN-13: 9781599040424
  • Formatas: 18 x 26.2 x 3.3 cm, kieti viršeliai
  • Kalba: Anglų

Kernel Methods in Bioengineering, Signal and Image Processing (el. knyga) (skaityta knyga) | knygos.lt

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Kernel Methods in Bioengineering, Signal and Image Processing covers real-world applications, such as computational biology, text categorization, time series prediction, interpolation, system identification, speech recognition, image de-noising, image coding, classification, and segmentation. Kernel Methods in Bioengineering, Signal and Image Processing encompasses the vast field of kernel methods from a multidisciplinary approach by presenting chapters dedicated to adaptation and use of kernel methods in the selected areas of bioengineering, signal processing and communications, and image processing.

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  • Leidėjas:
  • Metai: 2006
  • Puslapiai: 415
  • ISBN-10: 1599040425
  • ISBN-13: 9781599040424
  • Formatas: 18 x 26.2 x 3.3 cm, kieti viršeliai
  • Kalba: Anglų

Kernel Methods in Bioengineering, Signal and Image Processing covers real-world applications, such as computational biology, text categorization, time series prediction, interpolation, system identification, speech recognition, image de-noising, image coding, classification, and segmentation. Kernel Methods in Bioengineering, Signal and Image Processing encompasses the vast field of kernel methods from a multidisciplinary approach by presenting chapters dedicated to adaptation and use of kernel methods in the selected areas of bioengineering, signal processing and communications, and image processing.

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