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This book provides a comprehensive, interdisciplinary introduction to kernel‑based learning methods (such as SVM, kernel PCA/ICA, kernel k‑means, kernel ARMA) and their real-world applications in bioengineering, signal processing, communications, and image processing. It includes theoretical foundations and practical chapters on tasks such as computational biology, time-series prediction, speech recognition, image denoising and coding, classification and segmentation, system identification, and hyperspectral image analysis.

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245: $a: ernel Methods in Bioengineering, Signal and Image Processing
245: $b:
082: $a:
100: $a: Gustavo Camps‑Valls & José Luis Rojo‑Álvarez &Manel Martínez‑Ramón
650: $a: Computer Science
250: $a:
440: $v:
250: $b: Idea Group Pub
250: $c: 2006
020: $a: 9781599040424
300: $a: 415