Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
This paper describes a new robust method for calibration of ultrasound probe (2D/3D). Prior to calibration, a position sensor is attached to the probe for tagging each image/volum...
Emad Boctor, Anand Viswanathan, Michael A. Choti, ...
We present a paradigm for uniting the diverse strands of XML-based Web technologies by allowing them to be incorporated within a single document. This overcomes the distinction be...