We address the problem of efficiently learning Naive Bayes classifiers under classconditional classification noise (CCCN). Naive Bayes classifiers rely on the hypothesis that the ...
This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates th...
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
This paper describes a Web-based query system for semantically heterogeneous government-produced data. Geospatial Web-based information systems and portals are currently being dev...
Nancy Wiegand, Naijun Zhou, Isabel F. Cruz, Willia...
This paper describes a Web-based query system for semantically heterogeneous geospatial data. Our goal is to provide DBMS type query capabilities to a proposed statewide land info...
Nancy Wiegand, Naijun Zhou, Stephen J. Ventura, Is...