A Novel Curved Gaussian Mixture Model and Its Application in Motion Skill Encoding
Disi Chen,Gongfa Li,Dalin Zhou,Zhaojie Ju,Disi Chen,Gongfa Li,Dalin Zhou,Zhaojie Ju
The purpose of this paper is to present a novel curved Gaussian Mixture Model (CGMM) and to study the application of it in motion skill encoding. Primarily, Gaussian mixture model (GMM) has been widely applied on many occasions when a probability density function is needed to approximate a complex probability distribution. However, GMM cannot efficiently approach highly non-linear distributions. T...
