With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Abstract. How close are we to a world where every paper on programming languages is accompanied by an electronic appendix with machinechecked proofs? We propose an initial set of b...
Brian E. Aydemir, Aaron Bohannon, Matthew Fairbair...
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
This paper explores the design of a reconfigurable large-area high-resolution pressure sensing floor to help study human dance movement. By measuring the pressure of a user intera...
Prashant Srinivasan, David Birchfield, Gang Qian, ...