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Leveraging convolutional sparse autoencoders for robust movement classification from low-density sEMG. [PDF]

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Hristov B   +4 more
europepmc   +1 more source
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Learned Metric Index — Proposition of learned indexing for unstructured data

Information Systems, 2021
Abstract The main paradigm of similarity searching in metric spaces has remained mostly unchanged for decades — data objects are organized into a hierarchical structure according to their mutual distances, using representative pivots to reduce the number of distance computations needed to efficiently search the data. We propose an alternative to this
Jaroslav Olha   +2 more
exaly   +2 more sources

Learned Index Benefits

Proceedings of the VLDB Endowment, 2022
Index selection remains one of the most challenging problems in relational database management systems. To find an optimum index configuration for a workload, accurately and efficiently quantifying the benefits of each candidate index configuration is indispensable.
Jiachen Shi, Gao Cong, Xiaoli Li 0001
openaire   +1 more source

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