To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
We propose a new compression algorithm that is tailored to database applications. It can be applied to a collection of records, and is especially e ective for records with many lo...
This paper1 describes image processing techniques for Diffusion Tensor Magnetic Resonance. In Diffusion Tensor MRI, a tensor describing local water diffusion is acquired for each v...
Carl-Fredrik Westin, S. E. Maier, B. Khidhir, Pete...
Many large scale applications, have significant I/O requirements as well as computational and memory requirements. Unfortunately, limited number of I/O nodes provided by the conte...
Meenakshi A. Kandaswamy, Mahmut T. Kandemir, Alok ...
As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent branch predictor becomes more vital to delivering the...