Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
This paper describes the design and initial evaluation of Tag-liatelle, a collaborative tagging application for encouraging healthier eating. Users photograph their own meals and ...
Conor Linehan, Mark Doughty, Shaun Lawson, Ben Kir...
Although the voxel-based morphometry (VBM) has been widely used in quantifying the amount of gray matter of the human brain, the optimal amount of registration that should be used ...
Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. D...
Smoothing of biomedical images should preserve gray-level transitions between adjacent tissues, while restoring contours consistent with anatomical structures. Anisotropic diffusi...