We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
— Rapid advancements in processor and networking technologies have led to the evolution of cluster and grid computing frameworks. These high-performance computing environments ex...
Pradeep Padala, Cyrus Harrison, Nicholas Pelfort, ...
Abstract. Searching objects within a catalog is a problem of increasing importance, as the general public has access to increasing volumes of data. Constraint programming has addre...
Abstract. Experimenting and building integrated, operational systems in computational vision poses both theoretical and practical challenges, involving methodologies from control t...
Abstract. Existing middleware is based on control-flow centric interaction models such as remote method invocations, poorly matching the structure of applications that process con...
Rainer Koster, Andrew P. Black, Jie Huang, Jonatha...