Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Background: Detecting homology between remotely related protein families is an important problem in computational biology since the biological properties of uncharacterized protei...
Recent research works have revealed that it is not difficult to spoof an automated iris recognition system using fake iris such as contact lens and paper print etc. Therefore, it i...
Bar charts are common data representations in scientific and technical papers. In order to recognize the printed bar charst, we present a new Hough based bar chart recognition algo...
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...