Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
We consider the risk of a portfolio comprised of loans, bonds, and financial instruments that are subject to possible default. In particular, we are interested in performance meas...
Abstract We observe that the switching activity at a circuit node, also called the transition density, can be extremely sensitive to the circuit internal delays. As a result, sligh...
A commonly employed measure of the signal amplification properties of an input/output system is its induced L2 norm, sometimes also known as H gain. In general, however, it is ext...