We consider the problem of classification when multiple observations of a pattern are available, possibly under different transformations. We view this problem as a special case o...
—This paper describes a new approach to matching geometric structure in 2D point-sets. The novel feature is to unify the tasks of estimating transformation geometry and identifyi...
Many visualizations use smoothly animated transitions to help the user interact with information structures. These transitions are intended to preserve perceptual constancy during...
Maruthappan Shanmugasundaram, Pourang Irani, Carl ...
We describe efficient techniques for construction of large term co-occurrence graphs, and investigate an application to the discovery of numerous fine-grained (specific) topics. A...
This short paper explores the potential of embedding-based graph rewriting as a tool for understanding natural computing, and in particular self-assembly. The basic point of view i...