- Full text PDF available (3)
- This year (0)
- Last 5 years (1)
- Last 10 years (3)
Journals and Conferences
Kansas State University competed in both the robot division and the software division of the AAAI 2007 Semantic Vision Challenge. The team used a Pioneer P3AT robot, scalable client/server software architecture, path-planning code, and a set of image classifiers that autonomously trained on images downloaded from the internet. The team succeeded in… (More)
Natural Language understanding over a set of sentences or a document is a challenging problem. We approach this problem using semantic extraction and building an ontology for answering questions based on the data. There is more information in a sentence than found by extracting out the visible terms and their obvious relations between one another. Keeping… (More)
The KSU Willie entry in the Semantic Vision Challenge will use a variety of classifiers, some standard classifiers and some newly developed classifiers, to learn the classification of images downloaded from the web. KSU Willie will use those classifiers to identify objects in the environment.