TY  - BOOK
AU  - Naik,Ganesh R.
ED  - SpringerLink (Online service)
TI  - Non-negative Matrix Factorization Techniques: Advances in Theory and Applications 
T2  - Signals and Communication Technology,
SN  - 9783662483312
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2016///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Artificial intelligence
KW  - Computer graphics
KW  - Computer mathematics
KW  - Biomedical engineering
KW  - Signal, Image and Speech Processing
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Computational Mathematics and Numerical Analysis
KW  - Artificial Intelligence (incl. Robotics)
KW  - Biomedical Engineering
N1  - 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
N2  - 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 previously scattered in different scientific journals and conference proceedings are methodically collected and presented in a unified form. While readers can read the book chapters sequentially, each chapter is also self-contained. This book can be a good reference work for researchers and engineers interested in NMF, and can also be used as a handbook for students and professionals seeking to gain a better understanding of the latest applications of NMF
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-662-48331-2
ER  -