This paper describes a method for finding wide-baseline correspondences between images at locations along gradient edges. We find edges in scale space using established methods an...
Anisotropic diffusion (ATD) is an edge-oriented, scale-space based, and iterative image-smoothing process. Two main challenges of ATD are how to automatically stop the iterative p...
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
This paper introduces a new data structure, called V-trees, designed to store long sequences of points in 2D space and yet allow efficient access to their fragments. They also opt...
Our research organization has been constructing a large scale database named SHACHI by collecting detailed meta information on language resources (LRs) in Asia and Western countri...