Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Abstract. Affine registration has a long and venerable history in computer vision literature, and extensive work have been done for affine registrations in IR2 and IR3 . In this pa...
Yu-Tseh Chi, S. M. Nejhum Shahed, Jeffrey Ho, Ming...
Abstract. This paper addresses the problem of motion estimation and reconstruction of 3D models from profiles of an object rotating on a turntable, obtained from a single camera. I...
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Self-adjusting computation is an evaluation model in which programs can respond efficiently to small changes to their input data by using a change-propagation mechanism that updat...