In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Mobile devices face a diverse and dynamic set of networking options. Using those options to the fullest requires knowledge of application intent. This paper describes Intentional ...
Brett D. Higgins, Azarias Reda, Timur Alperovich, ...
In this paper the problem of developing bidding strategies for the participants of dynamic energy-multi markets is studied. Attention is given to strategic bidding of load serving...
We consider the problem of cross-band interference when devices from the same or different networks share radio spectrum. Cross-band interference occurs when unsynchronized trans...
Wei Hou, Lei Yang, Lin Zhang, Xiuming Shan, Heathe...
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...