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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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Naik, Ganesh R. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
Edisyon:1st ed. 2016.
Seri Bilgileri:Signals and Communication Technology,
Konular:
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 Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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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