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Research on Processing Large-Scale Similarity Queries in a High Dimensional Space

Doing research on improving existing similarity, search algorithms for large datasets. The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Please try to reduce the time cost of searching. That may be done by reduce the limiting factor of search speed, to reduce the number of items in the set before the searching, reduce the representation size of each individual object and etc... Any method on any search algorithms/methods will be fine...

Квалификация: Алгоритмы, Big Data Sales, Интеллектуальный анализ данных, Исследования

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О работодателе:
( 1 отзыв ) Hong Kong, Hong Kong

ID проекта: #16423740

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