Marcos Vinicius Naves Bêdo in research grants and scholarships supported by FAPESP.
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Exploring large medical data repositories with distance-based query criteria is troublesome whenever the objects are too close to each other.For instance, previous studies suggest recovering too similar images may spoil the semantics of Content-based Medical Image Retrieval (CBMIR) applications as well as their usability in a clinical workflow. The main semantic drawback is too close imag…
The data being collected and generated nowadays increases not only in volume, but also in complexity, leading to the need of new query operators. Similarity queries are one of the most pursued resources to retrieve complex data. The most studied operators to perform similarity are the Range Query and the k-Nearest Neighbor Query. Until recently, those queries were not available in the Da…
| 2 / 2 | Completed scholarships in Brazil |
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