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- W2185654323 abstract "Scale Invariant Feature Transform (SIFT) is a computer vision algorithm that is widely-used to extract features from images. We explored accelerating an existing implementation of this algorithm with message passing in order to analyze large data sets. We successfully tested two approaches to data decomposition in order to parallelize SIFT on a distributed memory cluster." @default.
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- W2185654323 date "2011-01-01" @default.
- W2185654323 modified "2023-09-24" @default.
- W2185654323 title "Parallelizing Scale Invariant Feature Transform On A Distributed Memory Cluster" @default.
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