We describe the integration of smart digital objects with Hebbian learning to create a distributed, real-time, scalable approach to adapting to a community's preferences. We ...
Thomas Lutkenhouse, Michael L. Nelson, Johan Bolle...
Abstract—Comparing graphs to determine the level of underlying structural similarity between them is a widely encountered problem in computer science. It is particularly relevant...
Damien Fay, Hamed Haddadi, Andrew Thomason, Andrew...
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
In this paper, we develop a new approach for texture classification independent of affine transforms. Based on spectral representation of texture images under affine transform, an...
This paper considers the problem of recognizing faces under varying illuminations. First, we investigate the statistics of the derivative of the irradiance images (log) of human f...