Some of the most successful recent applications of reinforcement learning have used neural networks and the TD algorithm to learn evaluation functions. In this paper, we examine t...
The problem of scalable and robust distributed data storage has recently attracted a lot of attention. A common approach in the area of peer-to-peer systems has been to use a dist...
Distributed hash tables (DHTs), used in a number of structured peer-to-peer (P2P) systems provide efficient mechanisms for resource placement and location. A key distinguishing fe...
Ronaldo A. Ferreira, Suresh Jagannathan, Ananth Gr...
In many modern video encoders, motion estimation is usually formulated as a Lagrangian cost function that balances motion prediction accuracy and the rate to transmit motion vecto...
Splatting is a volume rendering algorithm that combines efficient volume projection with a sparse data representation: Only voxels that have values inside the iso-range need to be...