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News
June 22, 2026
‘In Science, You Are Your Own Boss
Polina Nasledskova is interested in identifying gaps in linguistics and topics that have been overlooked by other researchers. In an interview for the  Young Scientists of HSE University project, she spoke about rare ordinal numerals in Nakh-Daghestanian languages, the benefits of knitting for concentration, and the beauty of the Patriarshy Bridge.
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.

 

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?

Быстрая сегментация множественных сочетаний признаков на основе их сводной статистики

С. 132–142.
Khvostov V., Utochkin I. S.
Language: Russian
Keywords: быстрая зрительная сегментацияансамблевые статистикисегментабельность

In book

Аффорданс: ожидание, возможность, ограничение? Материалы Всероссийской научной конференции
Общество с ограниченной ответственностью "Аверс Плюс", 2018.
Similar publications
Limitations on Animacy Categorization in Ensemble Perception
Khvostov V., Markov Y., Utochkin I. S. et al., Journal of Vision 2021 Vol. 21 Article 2085
People can rapidly and efficiently categorize the animacy of natural objects. Does this imply that the visual system has an unlimited capacity for processing animacy across the entire visual field? To test this, we generated a set of morphed “animacy continua” between animate and inanimate silhouettes. Observers were shown different ratios of these items (2:1, ...
Added: October 6, 2021
Ensemble representation of animacy could be based on mid-level visual features
Markov Y., Tiurina N., Journal of Vision 2021 Vol. 21 P. 2114–2114
Recent studies propose that mid-level features could underlie animacy perception. Here we tested whether the ability to estimate ensemble summary statistics for animacy based on high or mid-level features. We used four types of animate and inanimate images (Long & Konkle, 2018): colorful images, greyscale images, silhouettes (contains only recognizable shapes), texforms (unrecognizable images, which ...
Added: October 6, 2021
Ensemble-based segmentation in the perception of multiple feature conjunctions
Utochkin I. S., Khvostov V., Journal of Vision 2018 Vol. 18 No. 10 P. 74
Added: September 29, 2018
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