In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...
An automatic retinal image registration algorithm would be an important tool for detecting visible changes in the retina caused by the progress of a disease or by the impact of a ...
Chia-Ling Tsai, Charles V. Stewart, Badrinath Roys...
This paper reports a vessel structure based non-rigid registration method for cortical surface registration and deformation tracking using a laser-range scanner(LRS). The LRS cont...