In this paper we present an algorithm for structure and motion (SM) recovery under affine projection from video sequences. The algorithm tracks the motion of a single structure, b...
Abstract. In this paper we present two improvements to the partitioning process: 1) A new dynamic bu er management strategy is employed to increase the average block size of I/O-tr...
Themost costly aspect of gathering information over the Internet is that of transferring data over the networkto answer the user’s query. Wemaketwo contributions in this paperth...
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...