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- W137388512 abstract "This paper presents a parallel version of the Maximal Clique Enumeration MCE approach for discovering tolerance classes. Finding such classes is a computationally complex problem, especially in the case of large data sets or in content-based retrieval applicationsCBIR. The GPU implementation is an extension of earlier work by the authors on finding efficient methods for computing tolerance classes in images. The experimental results demonstrate that the GPU-based MCE algorithm is faster than the serial MCE implementation and can perform computations with higher values of tolerance e." @default.
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- W137388512 date "2013-01-01" @default.
- W137388512 modified "2023-09-23" @default.
- W137388512 title "GPU Implementation of MCE Approach to Finding Near Neighbourhoods" @default.
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- W137388512 doi "https://doi.org/10.1007/978-3-642-41299-8_24" @default.
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