This paper brings together work in modeling episodic memory and reinforcement learning. We demonstrate that is possible to learn to use episodic memory retrievals while simultaneo...
—Most research into high-performance software transactional memory (STM) assumes that transactions will run on a processor with a relatively strict memory model, such as Total St...
Michael F. Spear, Maged M. Michael, Michael L. Sco...
The architecture for a shared memory CPU is described. The CPU allows for parallelism down to the level of single instructions and is tolerant of memory latency. All executable in...
We are interested in recovering aspects of vocal tract’s geometry and dynamics from auditory and visual speech cues. We approach the problem in a statistical framework based on ...
Athanassios Katsamanis, George Papandreou, Petros ...
This paper describes an intelligent system that we developed to support affective multimodal human-computer interaction (AMM-HCI) where the user’s actions and emotions are modele...