This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
In this paper we propose a new topology based metric for 2D vector fields. This metric is based on the concept of feature flow fields. We show that it incorporates both the cha...
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Previous studies have shown that the quantification of volumetric blood flow from a color Doppler image (CDI) is a feasible approach to eliminate technical obstacles in the tradit...