Non-negative Matrix Factorization Techniques Advances in Theory and Applications /

This book collects new results, concepts and further developments of NMF. The open problems discussed include, e.g. in bioinformatics: NMF and its extensions applied to gene expression, sequence analysis, the functional characterization of genes, clustering and text mining etc. The research results...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Naik, Ganesh R. (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
Image processing-Digital techniques.
Computer vision.
Mathematics-Data processing.
Artificial intelligence.
Biomedical engineering.
Signal, Speech and Image Processing .
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computational Mathematics and Numerical Analysis.
Artificial Intelligence.
Biomedical Engineering and Bioengineering.
Online Access:Texto Completo
Table of Contents:
  • From Binary NMF to Variational Bayes NMF: A Probabilistic Approach
  • Non Negative Matrix Factorizations for Intelligent Data Analysis
  • Automatic extractive multi-document summarization based on Archetypal Analysis
  • Bounded Matrix Low Rank Approximation
  • A Modified NMF-based Filter Bank Approach for Enhancement of Speech Data in Non-stationary Noise
  • Separation of stellar spectra based on non-negativity and parametric modelling of mixing operator
  • NMF in MR Spectroscopy
  • Time-Scale Based Segmentation for Degraded PCG Signals Using NMF.

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