Abstract We propose Geometric Clifford Algebra Networks (GCANs) for modeling dynamical systems. GCANs are based on symmetry group transformations using geometric (Clifford) …
X Zhu, Y Xu, H Xu, C Chen - Proceedings of the European …, 2018 - openaccess.thecvf.com
Neural networks in the real domain have been studied for a long time and achieved promising results in many vision tasks for recent years. However, the extensions of the …
D Hildenbrand - AIP Conference Proceedings, 2012 - pubs.aip.org
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 …
E Hitzer, T Nitta, Y Kuroe - Advances in Applied Clifford Algebras, 2013 - Springer
We survey the development of Clifford's geometric algebra and some of its engineering applications during the last 15 years. Several recently developed applications and their …
This paper introduces the Clifford support vector machines (CSVM) as a generalization of the real and complex-valued support vector machines using the Clifford geometric algebra …
T Isokawa, N Matsui, H Nishimura - Complex-valued neural networks …, 2009 - igi-global.com
Quaternions are a class of hypercomplex number systems, a four-dimensional extension of imaginary numbers, which are extensively used in various fields such as modern physics …
We introduce CGAPoseNet+ GCAN, which enhances CGAPoseNet, an architecture for camera pose regression, with a Geometric Clifford Algebra Network (GCAN). With the …
Image segmentation is widely used in the field of agriculture to improve the yields and protecting them from pests, herbs, shrubs, and weeds. Precision agriculture is also …
W Wang, H Zhao, X Zeng - … on Circuits and Systems II: Express …, 2019 - ieeexplore.ieee.org
Correntropy is an efficient tool for analyzing higher order statistical moments in non- Gaussian noise environments. Correntropy has been used with real, complex, and …