IEEE

Basis Clustering Regularized NMF for Multichannel Blind Source Separation

Abstract: Nonnegativematrix factorization (NMF) has been widely used as the spectral model in multi-channel blind source separation (BSS), where the source power spectral density is expressed as the ...
IEEE

Branch-and-Bound Compressive Learning and Reconstruction of Hyperspectral Data With Deep Tucker Decomposition Using Spatial–Spectral Learning Network

Abstract: Hyperspectral imaging (HSI) produces high-dimensional data characterized by detailed spectral and spatial information for each pixel, which is instrumental in applications such as object ...