We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
Mobile computing offers the possibility of dramatically expanding the versatility of computers, by bringing them off the desktop and into new and unique contexts. However, this ne...
Jacob Eisenstein, Jean Vanderdonckt, Angel R. Puer...
Detecting objects in cluttered scenes and estimating articulated human body parts are two challenging problems in computer vision. The difficulty is particularly pronounced in ac...
Context modeling for Vision Recognition and Automatic Image Annotation (AIA) has attracted increasing attentions in recent years. For various contextual information and resources,...
In this paper I propose a model for situated information processing based on a set of layers, each related to a different processing phase and to a different context type. The mod...