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...
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
Shuicheng Yan, Dong Xu, Lei Zhang, Benyu Zhang, Ho...
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Hardware accelerators are increasingly used to extend the computational capabilities of baseline scalar processors to meet the growing performance and power requirements of embedd...
Nikolaos Bellas, Sek M. Chai, Malcolm Dwyer, Dan L...
Ensemble learning algorithms such as boosting can achieve better performance by averaging over the predictions of some base hypotheses. Nevertheless, most existing algorithms are ...