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Tiffany Fan, David I. Shuman, Shashanka Ubaru and Yousef Saad
We propose and investigate two new methods to approximate ??(??)??
f
(
A
)
b
for large, sparse, Hermitian matrices ??
A
. Computations of this form play an important role in numerous signal processing and machine learning tasks. The main idea behind bot...
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Mario Coutino, Sundeep Prabhakar Chepuri, Takanori Maehara and Geert Leus
To analyze and synthesize signals on networks or graphs, Fourier theory has been extended to irregular domains, leading to a so-called graph Fourier transform. Unfortunately, different from the traditional Fourier transform, each graph exhibits a differe...
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Dmitry Pavlyuk
Transfer learning is a modern concept that focuses on the application of ideas, models, and algorithms, developed in one applied area, for solving a similar problem in another area. In this paper, we identify links between methodologies in two fields: vi...
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