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News
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Pattern Recognition and Image Analysis

* 2. Springer, 2019.
Under the general editorship: A. Morales, J. Fierrez, J. S. Sánchez, B. Ribeiro

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.

The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:

Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.

Part II: biometrics; handwriting and document analysis; other applications.

Chapters
User Modeling on Mobile Device Based on Facial Clustering and Object Detection in Photos and Videos
Grechikhin I., Andrey V. Savchenko, , in: Pattern Recognition and Image Analysis* 2.: Springer, 2019. P. 429–440.
The article describes an approach for extraction of user preferences based on the analysis of a gallery of photos and videos on mobile device. It is proposed to firstly use fast SSD-based methods in order to detect objects of interests in offline mode directly on mobile device. Next we perform facial analysis of all visual ...
Added: September 23, 2019
Priority areas: IT and mathematics
Language: English
DOI
Text on another site
Keywords: semanticspattern recognitionneural networksmachine learningsupport vector machinesclassificationsignal processingcomputer visionimage segmentationRemote Sensingartificial intelligenceSVMclassification accuracyimage codingimage reconstructionimaging systemsimage processingimage representation
Pattern Recognition and Image Analysis
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This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...
Added: July 30, 2026
The Evolution Of Law Concept Of Information: From Philosophical Abstraction To Quantum Information And Cryptography In The Context Of Growing Cyber Threats And The Transition To Post-Quantum Security Method
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The Use of the Missing Sample Simulation Modeling to Create a Classification Model for Three or More Classes by the Example of the Carbohydrate Metabolism Disorder Degree Detection Problem
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A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...
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Proceedings of the 43rd International Conference on Machine Learning (ICML 2026)
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The recognition-by-components method
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Added: May 29, 2026
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