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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Naik, Ganesh R. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Signals and Communication Technology,
• Θέματα: Engineering.; Artificial intelligence.; Computer graphics.; Computer mathematics.; Biomedical engineering.; Signal, Image and Speech Processing.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Computational Mathematics and Numerical Analysis.; Artificial Intelligence (incl. Robotics).; Biomedical Engineering.

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...

Πίνακας περιεχομένων:

• 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.