Methods for extracting features and classifying textures in high resolution colour images are presented. The proposed features are directional texture features obtained from the c...
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
As microblogging grows in popularity, services like Twitter are coming to support information gathering needs above and beyond their traditional roles as social networks. But most...
Daniel Ramage, Susan T. Dumais, Daniel J. Liebling
In this paper the authors present a simulation study of two 802.11e network scenarios. The presented analysis is not only novel but most of all crucial for understanding how a theo...
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...