Clusters of computers have emerged as mainstream parallel and distributed platforms for high-performance, highthroughput and high-availability computing. To enable effective resou...
Integrating processors and main memory is a promising approach to increase system performance. Such integration provides very high memory bandwidth that can be exploited efficientl...
level of abstraction, compared with the program representation for scalar optimizations. For example, loop unrolling and loop unrolland-jam transformations exploit the large regist...
Rakesh Krishnaiyer, Dattatraya Kulkarni, Daniel M....
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...