Search Results for author: Kirill Muraviev

Found 3 papers, 2 papers with code

Desbordante: from benchmarking suite to high-performance science-intensive data profiler (preprint)

1 code implementation • 14 Jan 2023 • George Chernishev, Michael Polyntsov, Anton Chizhov, Kirill Stupakov, Ilya Shchuckin, Alexander Smirnov, Maxim Strutovsky, Alexey Shlyonskikh, Mikhail Firsov, Stepan Manannikov, Nikita Bobrov, Daniil Goncharov, Ilia Barutkin, Vladislav Shalnev, Kirill Muraviev, Anna Rakhmukova, Dmitriy Shcheka, Anton Chernikov, Dmitrii Mandelshtam, Mikhail Vyrodov, Arthur Saliou, Eduard Gaisin, Kirill Smirnov

Unlike other profilers, Desbordante works not only with tabular data, but with graph and transactional data as well.

Benchmarking

334

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Code

Solving Data Quality Problems with Desbordante: a Demo

1 code implementation • 27 Jul 2023 • George Chernishev, Michael Polyntsov, Anton Chizhov, Kirill Stupakov, Ilya Shchuckin, Alexander Smirnov, Maxim Strutovsky, Alexey Shlyonskikh, Mikhail Firsov, Stepan Manannikov, Nikita Bobrov, Daniil Goncharov, Ilia Barutkin, Vladislav Shalnev, Kirill Muraviev, Anna Rakhmukova, Dmitriy Shcheka, Anton Chernikov, Mikhail Vyrodov, Yaroslav Kurbatov, Maxim Fofanov, Sergei Belokonnyi, Pavel Anosov, Arthur Saliou, Eduard Gaisin, Kirill Smirnov

However, most existing data profiling systems that focus on complex statistics do not provide proper integration with the tools used by contemporary data scientists.

Anomaly Detection Descriptive

334

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Code

Map-merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation

no code implementations • 12 Sep 2020 • Andrey Bokovoy, Kirill Muraviev, Konstantin Yakovlev

Simultaneous localization and mapping, especially the one relying solely on video data (vSLAM), is a challenging problem that has been extensively studied in robotics and computer vision.

Navigate Simultaneous Localization and Mapping

Paper
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