—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Abstract. An appropriate image representation induces some good image treatment algorithms. Hypergraph theory is a theory of finite combinatorial sets, modeling a lot of problems ...
This paper presents the developement of a novel, fullyautomatic tracking and segmentation system to extract the boundary of the carotid artery from ultrasound images in real-time....
Purang Abolmaesumi, Mohammad Reza Sirouspour, S. E...
Normalized Cut is a widely used technique for solving a
variety of problems. Although finding the optimal normalized
cut has proven to be NP-hard, spectral relaxations can
be ap...
Linli Xu (University of Alberta), Wenye Li (Univer...
Biological images have the potential to reveal complex signatures that may not be amenable to morphological modeling in terms of shape, location, texture, and color. An effective ...