Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
: In the ubiquitous Internet, human mobile-web interactions can be evaluated with real-time analysis of time-based usability and accessibility with the different types of mobile In...
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given covariance structural model and a discrepancy function...
Given the recent interest in non-binary forms of spreading sequences, there is a gap in knowledge on code tracking techniques for noise-like spreading codes. This paper presents t...
This paper presents a novel approach for multimodal information fusion. The proposed method is based on kernel cross-modal factor analysis (KCFA), in which the optimal transformat...
Yongjin Wang, Ling Guan, Anastasios N. Venetsanopo...