In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
We suggest a general paradigm of using large-scale distributed computation to solve difficult problems, but where humans can act as agents and provide candidate solutions. We are e...
Craig Gentry, Zulfikar Ramzan, Stuart G. Stubblebi...
Recognition under illumination variations is a challenging problem. The key is to successfully separate the illumination source from the observed appearance. Once separated, what ...
Many networks under study in Information Visualization are “small world” networks. These networks first appeared in the study social networks and were shown to be relevant mod...
David Auber, Yves Chiricota, Fabien Jourdan, Guy M...
A facial analysis-synthesis framework based on a concise set of local, independently actuated, Coarticulation Regions (CR) is presented for the control of 2D animated characters. ...