common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
This paper describes the spatial aggregation language and its applications. Spatial aggregation comprises a framework and a mechanism for organizing computations around image-like...
Christopher Bailey-Kellogg, Feng Zhao, Kenneth Yip
This paper addresses the issue of word-sense ambiguity in extraction from machine-readable resources for the construction of large-scale knowledge sources. We describe two experim...
: We describe an approach to parallel compilation that seeks to harness the vast amount of ne-grain parallelism that is exposed through partial evaluation of numerically-intensive ...
Wide area computer networks have become a basic part of today's computing infrastructure. These networks connect a variety of machines, presenting an enormous computing resou...
Adam Beguelin, Jack Dongarra, Al Geist, Robert Man...