Summary: A new study identified the architectural and evolutionary principles that govern how both children and artificial neural networks absorb language. The research bridges cognitive linguistics ...
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 ...
Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The ...
This is the coding implementations of the DSA.js book and the repo for the NPM package. In this repository, you can find the implementation of algorithms and data structures in JavaScript. This ...
Acquiring and analyzing body information is the first step to sensing and understanding the body. The signals obtained from our body often hold the characteristics of high dimension, non-linearity, ...
State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Special Function Materials and Structure Design, College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, Gansu ...
Abstract: Spectral Embedding (SE) has often been used to map data points from non-linear manifolds to linear subspaces for the purpose of classification and clustering. Despite significant advantages, ...
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