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...
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Ma...
Abstract. In this paper, we propose a face hallucination method using eigentransformation with distortion reduction. Different from most of the proposed methods based on probabilis...
Human face is one of the most common and useful keys to a person’s identity. Many algorithms have been developed for automatic face recognition. And a number of commercial produc...
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...