Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
We present a new object segmentation method that is based on geodesic active contours with combined shape and appearance priors. It is known that using shape priors can significan...
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
Work processes are conducted in various contexts and they involve different tasks, interruptions, activities and actions. In all of these, tacit knowledge plays a part. Some part ...