The levels of immersion and presence felt by users in a Virtual Environment (VE) are very important factors that dictate the quality of the Virtual Reality (VR) experience. Sensor...
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Efficiency measurement is an important issue for any firm or organization. Efficiency measurement allows organizations to compare their performance with their competitors’ and t...
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
—In this contribution, the Fisher-Bingham-5 (FB5) probability density function (pdf) is used to model the shape of the direction power spectral density function (psdf) of individ...
Xuefeng Yin, Lingfeng Liu, Daniel K. Nielsen, Troe...