ABSTRACT: By using the function decomposition of the two weighted Herz spaces with variable exponents and hierarchical estimation methods, as well as the boundedness of the fractional operators with ...
Abstract: Graph convolutional networks (GCNs) are widely used in a variety of applications and can be seen as an unstructured version of standard convolutional neural networks (CNNs). As in CNNs, the ...
In the course of MAT204: Linear Algebra, I along with my group partners explored the issue of low complex 2D Image Compression using the Haar Wavelets as the basis function, and also calculated the ...
Abstract: In recent years, there have been numerous attempts to achieve unpaired image-to-image translation. Many algorithms have especially incorporated the contrastive learning framework into ...
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Objective of our paper is to present the Haar wavelet based solutions of boundary value problems by Haar collocation method and utilizing Quasilinearization technique to resolve quadratic nonlinearity ...
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