In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
We study the problem of producing a global ranking of items given pairwise ranking information, when the items to be ranked arrive in an online fashion. We study both the maximizat...
— In this paper we present a gradient method to iteratively update local controllers of a distributed linear system driven by stochastic disturbances. The control objective is to...
General multiclass queueing systems are extremely difficult to analyze. A great deal of effort has been devoted to examining the question of stability and performance of such net...
In this paper a novel multi-stroke sketch recognition method is presented. This method integrates the stroke segmentation and sketch recognition into a single approach, in which bo...