We investigate the task of compressing an image by using different probability models for compressing different regions of the image. In an earlier paper, we introduced a class of...
In this paper we describe a technique for choosing multiple colours for use during data visualization. Our goal is a systematic method for maximizing the total number of colours a...
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
It is known to many researchers in the partitioning community that the recursive bipartitioning approach outperforms the direct non-recursive approach in solving the multiway part...
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...