In this article, the hyperspectral unmixing problem is solved with the nonnegative matrix factorization (NMF) algorithm. The regularized criterion is minimized with a hierarchical alternating least squares (HALS) scheme. Under the HALS framework, four constraints are introduced to improve the unmixing accuracy, including the sum-to-unity constraint, the constraints for minimum spectral dispersi...

The title compound, C(42)H(72)N(2)O(5), a hindered amine light stabiliser (HALS) with the trade name Tinuvin 144 was prepared from bis-(1,2,2,6,6-penta-methyl-piperidin-4-yl) 2-butyl-malonate and 2,6-di-tert-butyl-4-[(dimethyl-amino)meth-yl]phenol using lithium amide as a catalyst. In the mol-ecule, both piperidine rings adopt chair conformations. In the crystal, inversion dimers linked by pair...

In this paper we propose a new flexible group tensor analysis model called the linked CP tensor decomposition (LCPTD). The LCPTD method can decompose given multiple tensors into common factor matrices, individual factor matrices, and core tensors, simultaneously. We applied the Hierarchical Alternating Least Squares (HALS) algorithm to the LCPTD model; besides we impose additional constraints t...

Analysis of high dimensional data in modern applications, such as neuroscience, text mining, spectral analysis or chemometrices naturally requires tensor decomposition methods. The Tucker decompositions allow us to extract hidden factors (component matrices) with a different dimension in each mode and investigate interactions among various modes. The Alternating Least Squares (ALS) algorithms h...