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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
Other Authors: Naik, Ganesh R. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2016, 2016
Edition:1st ed. 2016
Series:Signals and Communication Technology
Subjects:
Image Processing / Digital Techniques
Computer Vision
Biomedical Engineering
Artificial Intelligence
Computational Mathematics And Numerical Analysis
Mathematics / Data Processing
Computer Imaging, Vision, Pattern Recognition And Graphics
Biomedical Engineering And Bioengineering
Signal, Speech And Image Processing
Signal Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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