Description

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Theory.- NMF theory and algorithms using Second order and Higher Order statistics.- Multi-layer NMF.- Sparse NMF methods.- Convolutive NMF.- Simultaneous NMF.- Kernel and overlapping NMF.- Large scale NMF.- Projected gradient and Quasi newton NMF algorithms.- Least square algorithms for NMF.- Source Localisation and separation using NMF techniques.- Source Identification issues.- Unknown number of source separation using NMF.- Applications.- NMF for bioinformatics and gene expression applications.- NMF for text mining and sequential analysis.- Neuroscience and biomedical application of NMF.- NMF applications for Brain Computer Interface (BCI) and motor imagery tasks.- NMF for Video and Image processing applications.- Music source separation using NMF methods.- Image, speech and multimedia applications.- Source localisation of Audio and Biosignals.- Source separation in retinal and MRI imaging applications.- Analysis of Heart rate analysis using NMF.- Comparison of real word audio and biosignals with synthetic data using NMF.- NMF for financial and economics applications.- NMF for moving source separation.