Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
This paper presents a comparison between two technologies for reconfigurable circuits that are FPGA'se the FPAA's. The comparison is based on a case study of the area of...
Roberto Selow, Heitor S. Lopes, Carlos R. Erig Lim...
Advances in FPGA-based reconfigurable computers have made them a viable computing platform for a vast variety of computation demanding areas such as bioinformatics, speech recogni...
Temporal partitioning techniques are useful to implement large and complex applications, which can be split into partitions in FPGA devices. In order to minimize resources, each o...