We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...
ally related entity types, or classes, into higher level, more abstract types, as part of a hierarchical classi®cation scheme. graphy, generalization retains the notion of abstrac...
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
In this paper, we propose a word shape recognition method for retrieving image-based documents. Document images are segmented at the word level first. Then the proposed method det...