We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
We present a primarily speech-based user interface to a wide range of entertainment, navigation and communication applications for use in vehicles. The multimodal dialog enables t...
Wolfgang Minker, Udo Haiber, Paul Heisterkamp, Sve...
The NIST HumanID Evaluation Framework, or HEF, is an effort to design, implement, and deploy standards for the robust and complete documentation of the biometric system evaluation...
Ross J. Micheals, Patrick Grother, P. Jonathon Phi...
This paper explores high-level scene interpretation with logic-based conceptual models. The main interest is in aggregates which describe interesting co-occurrences of physical obj...