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Abstract: We propose a new dimension reduction method for matrix-valued data called Matrix Non-linear PCA (MNPCA), which is a non-linear generalization of (2D) ${}^{2}$ PCA. MNPCA is based on ...

In this paper, a Variational Autoencoder (VAE) based framework is introduced to solve parameter estimation problems for non-linear forward models. In particular, we focus on applications in the field ...

It is the simplest sort algorithm. Define the graph? A graph is one kind of data structure that contains a set of prearranged pairs. These ordered pairs are also referred to as edges and are used to ...

Keeping it as a reference point, in this post, we will discuss in detail the kernel used to learn non-linear functions used to map the non-linear relationship between two variables. We will go through ...