Geometric Algebra has the power to lead easily from the geometric intuition of solving an
engineering application to its efficient implementation on current and future computing …

Introduction: Deep Learning plays an important role in machine learning and artificial
intelligence. It is widely applied in many fields with high dimensional data, including natural …

Geometric algebra (GA) is a mathematical framework that allows the compact description of
geometric relationships and algorithms in many fields of science and engineering. The …

This paper discusses feature extraction methods. The feature extraction methods such
principal component analysis and multiple discriminant analysis are very important …

We illustrate the suitability of geometric algebra for representing structures and developing
algorithms in computer graphics, especially for engineering applications. A number of …

Clustering is one of the most useful methods for understanding similarity among data.
However, most conventional clustering methods do not pay sufficient attention to the …

Clustering is one of the most useful methods for understanding similarity among data.
However, most conventional clustering methods do not pay sufficient attention to the …

Images in scientific visualization are the end product of data processing. Starting from higher-
dimensional data sets such as scalar, vector, and tensor fields given on 2D, 3D, and 4D …

Geometric Algebra (GA) is a mathematical framework that allows a compact, geometrically
intuitive description of geometric relationships and algorithms. These algorithms require …

Geometric algebra (GA) is a generalization of complex numbers and quaternions. It is able
to describe spatial objects and the geometric relations between them. ConformalGA (CGA) …