Spectral unmixing is an important technique for quantitatively analyzing hyperspectral remote sensing images.Recently, constrained nonnegative matrix factorization (NMF) has been demonstrated to be a powerful tool for spectral unmixing.However, acquiring the problem-dependent prior knowledge and incorporating it into NMF as effective constraints is

Head and neck squamous cell cancer (HNSCC) is the 7th most common cancer worldwide.Despite the development of new therapeutic agents such as monoclonal antibodies, prognosis did not change for the last decades.Cold atmospheric plasma (CAP) presents the most promising new technology in Athletic Tape cancer treatment.In this study the efficacy of a s

Two-dimensional unsteady incompressible flows in which the potential vorticity (PV) plays a key role are examined in this study, through the development of the evolution equation for the PV gradient.For the case where the PV is conserved, precise statements concerning topology-conservation are presented.While establishing some intuitively well-know

This study discusses the detection of primary stress in continuous speech in Brazilian Portuguese (BP) using the West Point corpus (Morgan et al.2008), and compressed representations of the speech signal (MFCCs, modelled Carnitine by HMM-GMMs), as implemented in the toolkit Kaldi (Povey et al.2011).An acoustic model of BP was trained using 5-fold c