Robustness is one of the most critical issues in the appearance-based learning strategies. In this work, we propose a novel kernel that is robust against data corruption for vario...
Linear discriminant analysis (LDA) is a widely-used feature extraction method in classification. However, the original LDA has limitations due to the assumption of a unimodal str...
Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo K...
Services can be characterized as activities in which providers and customers co-create value. The need for a tight collaboration between providers and customers is thus an importa...
—A whiteboard that automatically identifies drawn strokes, interprets them in context, and augments drawn images with computational results, such as solutions to mathematical eq...
—With the increased network size and diversity, and the proliferation in applications and services, the network service providers are faced with a flood of information from many...