A new image fusion algorithm based on structure tensor is proposed. Structure tensor describes local information with its eigenvalues. High-frequency wavelet coefficients of fused image are reconstructed with this new tool. Experimental results show that the proposed method has better fusion properties.

Fused (fu) is a segment polarity gene whose product is maternally required in the posterior part of each segment. To define further the role of fused and determine how it interacts with other segmentation genes, we examined the phenotypes obtained by combining fused with mutations of pair rule, homeotic and other segment polarity loci. When it was possible, we also looked at the distribution of...

Described herein is a highly enantioselective synthesis of fused piperidine and pyrrolidine derivatives with all-carbon stereogenic centers. The enantioselective reductive amination from C(s)-symmetric 1,3-dione derivatives proceeded in a highly stereoselective manner by taking advantage of the desymmetrization approach to afford fused heterocycles with contiguous stereogenic centers in good to...

To study the electronic interactions in donor-acceptor (D-A) ensembles, D and A fragments are coupled in a single molecule. Specifically, a tetrathiafulvalene (TTF)-fused dipyrido[3,2-a:2',3'-c]phenazine (dppz) compound having inherent redox centers has been synthesized and structurally characterized. Its electronic absorption, fluorescence emission, photoinduced intramolecular charge transfer,...

The Industrial Research Promotion Fund (Forschungsförderungsfond, FFF) is Austria’s most important source of finance funding R&D projects carried out by business enterprises. However, the decision on the level of R&D subsidies will be affected by both the funding agency's objectives and firm characteristics. This paper analyzes the factor explaining the intensity of R&D subsidies as well as the...

In this paper, we consider the problem of estimating multiple graphical models simultaneously using the fused lasso penalty, which encourages adjacent graphs to share similar structures. A motivating example is the analysis of brain networks of Alzheimer’s disease using neuroimaging data. Specifically, we may wish to estimate a brain network for the normal controls (NC), a brain network for the...

In this paper, we present a novel deep learning approach, deeply-fused nets. The central idea of our approach is deep fusion, i.e., combine the intermediate representations of base networks, where the fused output serves as the input of the remaining part of each base network, and perform such combinations deeply over several intermediate representations. The resulting deeply fused net enjoys s...