Abstract. A new machine learning approach is presented for automatic detection of Mediterranean water eddies from sea surface temperature maps of the Atlantic Ocean. A pre-processi...
This paper proposes energy efficient real-time multi-task scheduling (EDF and RM) algorithms by using buffers. The buffering technique overcomes a drawback of previous approaches ...
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
In this paper, we describe an algorithm and implementation of locality optimizations for architectures with instruction sets such as Intel’s SSE and Motorola’s AltiVec that su...
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...