Wedgelet representations of graph signals can be encoded in a simple way by a set of graph nodes and applied easily to the compression of graph signals and images. A detailed description of the ...

The deep learning neural network has been used to compress, reorganize, and save images and data of different sizes. However, it has several problems, the most important of which is that it takes a ...

The force bounds are calculated by finding the corresponding force to the inclination point. A 0.5% margin is used to define the flatness of the graph. The intersection between these bounds and the ...

Graph Compression Using CAE Base of PC and K-NN Techniques Abstract: The deep learning neural network has been used to compress, reorganize, and save images and data of different sizes. However, it ...