The fusion of spectral–spatial features based on deep learning has become the focus research in hyperspectral image (HSI) classification. However, previous frameworks usually performed feature aggregation only at branch ends. Furthermore, first-order statistical are considered process, which is not conducive to improving discrimination features. This article proposes a global–local hierarchical...

Data fusion is a common issue of mobile robotics, computer assisted medical diagnosis or behavioral control of simulated character for instance. However data sources are often noisy, opinion for experts are not known with absolute precision, and motor commands do not act in the same exact manner on the environment. In these cases, classic logic fails to manage efficiently the fusion process. Co...

a generalization of the known results in fusion frames and $g$-frames theory to continuous fusion frames which defined by m. h. faroughi and r. ahmadi, is presented in this study. continuous resolution of the identity (cri) is introduced, a new family of cri is constructed, and a number of reconstruction formulas are obtained. also, new results are given on the duality of continuous fusion fram...

abstract  background: spondylolysis and spondylolisthesis can be associated with significant  low back pain, especially in physically active adolescents. non-operative management  is usually successful in improving symptoms, but surgical intervention is  occasionally required. the aim of this study was to determine the effect of in situ posterolateral  fusion in the treatment of refractory case...