1 code implementation • 20 Feb 2022 • Vladimir Ivashkin, Pavel Chebotarev
While usually measure comparisons are limited to general measure ranking on a particular dataset, we aim to explore the performance of various measures depending on graph features.
no code implementations • 1 Jan 2021 • Vladimir Ivashkin, Pavel Chebotarev
Given particular graph parameters, this allows us to choose the best measure to use for clustering.
no code implementations • 14 Mar 2020 • Vladimir Ivashkin
Looking back at the history of calculators, one can see that they become less functional and more computationally expensive over time.
3 code implementations • ECCV 2020 • Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin
Editing existing images requires embedding a given image into the latent space of StyleGAN2.
no code implementations • 23 May 2019 • Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy, Ivan Bushmarinov, Dmitry Solomentsev
Precipitation nowcasting is a short-range forecast of rain/snow (up to 2 hours), often displayed on top of the geographical map by the weather service.
no code implementations • 28 Dec 2018 • Vladimir Ivashkin, Vadim Lebedev
Precipitation nowcasting using neural networks and ground-based radars has become one of the key components of modern weather prediction services, but it is limited to the regions covered by ground-based radars.
no code implementations • 3 May 2016 • Vladimir Ivashkin, Pavel Chebotarev
A possible origin of this effect is that most kernels have a multiplicative nature, while the nature of distances used in cluster algorithms is an additive one (cf.