Parts-based recognition has been suggested for generalizing from few training views in categorization scenarios. In this paper we present the results of a comparative investigation...
This paper describes an implemented robotic agent architecture in which the environment, as sensed by the agent, is used to guide the recognition of spoken and gestural directives...
Shana Watters, Tim Miller, Praveen Balachandran, W...
A common task at almost any computer interface is that of searchingfordocuments,whichGUIstypicallyrepresentwith icons. Oddly, little research has been done on the processes underl...
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
We present a revision learning model for improving the accuracy of a dependency parser. The revision stage corrects the output of the base parser by means of revision rules learne...