Searching for non-text data (e.g., images) is mostly done by means of metadata annotations or by extracting the text close to the data. However, supporting real content-based audi...
We present techniques for incrementally managing schedules in domains where activities accrue quality as a function of the time and resources allocated to them and the goal is to ...
Anthony Gallagher, Terry L. Zimmerman, Stephen F. ...
We propose a memory-based approach to the problem of goal-schema recognition. We use a generic episodic memory module to perform incremental goal schema recognition and to build t...
Emerging ubiquitous computing leverages the need for automated trust management models. We take a domestic network of both fixed and mobile nodes as our reference scenario and in...
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...