The idea of local learning, i.e., classifying a particular example based on its neighbors, has been successfully applied to many semi-supervised and clustering problems recently. ...
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
In this paper, the integrated probability function (IPF) on local mean distance for image recognition was proposed to combine features for the best performance. Experiments were p...
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
The aging population and the growing amount of medical data have increased the need for automated tools in the neurology departments. Although the researchers have been developing ...