We present a new method for relevance feedback in image retrieval and a scheme to learn weighted distances which can be used in combination with different relevance feedback metho...
Enrique Vidal, Hermann Ney, Roberto Paredes, Thoma...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Motion capture can be an effective method of creating realistic human motion for animation. Unfortunately, the quality demands for animation place challenging demands on a capture...
In this paper we describe an area efficient power minimization scheme "Control Generated ClockingI` that saves significant amounts of power in datapath registers and clock dr...