Construction of networks by associating with submanifolds of almost Hermitian manifolds

Abstract

The idea that data lies on a non-linear space has brought up the concept of manifold learning as a part of machine learning.

References in corpus (1)

• Inequalities for generalized normalized $\delta$-Casorati curvatures of slant submanifolds in quaternionic space forms