We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (...
S. A. Riley, Lee Dee Miller, Leen-Kiat Soh, Ashok ...
Abstract. In this paper we discuss an image mining application of Egeria detection. Egeria is a type of weed found in various lands and water regions over San Joaquin and Sacrament...
Given a multichannel loudspeaker system, the selection of the crossover frequency between the sub-woofer and the satellite speakers is important for accurate (i.e., distortionfree...
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...