Name: Triangulation in neural network
Author: Vitaly Fartushnov

аннотация

Triangulation in the context of neural networks is the use of a geometric method of dividing a set of points into triangles to solve various problems of data processing, structure analysis, or building connections between network elements.

Книга публикуется в авторской орфографии и пунктуации

Автор

Vitaly Fartushnov

In neural networks, Delaunay triangulation is used to construct a graph data structure, where points (e.g., point cloud elements or feature vectors) become the vertices of the graph, and edges are determined from the triangulation results.