Variational Em Inference Algorithm For Gaussian Process Classification Model With Multiclass And Its Application To Human Action Classification

• Main Authors: Wanhyun Cho, Soonja Kang, Sangkyoon Kim, Soonyoung Park
• Format: Text
• Language: English
• Published: Zenodo 2015
• Subjects: Bayesian rule; Gaussian process classification model with multiclass; Gaussian process prior; human action classification; laplace approximation; variational EM algorithm.; Laplace; Rasmussen; laptev
• Online Access: https://dx.doi.org/10.5281/zenodo.1110275; https://zenodo.org/record/1110275

In this paper, we propose the variational EM inference algorithm for the multi-class Gaussian process classification model that can be used in the field of human behavior recognition. This algorithm can drive simultaneously both a posterior distribution of a latent function and estimators of hyper-p...