We develop a image segmentation algorithm in which the segmented region has both an
exterior boundary cost and an interior benefit associated with it. Our segmentation method …

An important and difficult problem in computer vision is to determine 2D image feature
correspondences over a set of images. In this paper, two new affinity measures for image …

This paper presents a quantitative approach to grouping. A generic grouping method, which
may be applied to many domains, is given, and an analysis of its expected grouping quality …

This thesis presents new approaches to multi-way partitioning of graphs and hypergaphs.
Our primary application is VLSI circuit design, where the need for fast and effective methods …

For efficient cellular communication channel usage, we propose a neural computation
model for image coding. In a constant-time unsupervised learning, our neural model …

Abstract Magnetic Resonance Imaging (MRI) is an important non-invasive technique to
examine the human brain. The identification of different brain components and structures is …