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News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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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 presents a deep learning-based optimization of a list-decoding algorithm for a concatenated Hamming-Reed-Solomon code transmitted over an AWGN channel with BPSK modulation. The proposed method reformulates early termination of the erasure-pattern list as a weighted regression problem, addressing class imbalance through an asymmetric Weighted Mean Squared Error (WMSE) loss function that penalizes index ...
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The compendium brings together short academic papers (Think pieces UNESCO) in English prepared by fifth-year law students of HSE University during their professional internship at the UNESCO Chair on Copyright, Neighbouring, Cultural and Information Rights under the supervision of Mariia Katkova. Following MONDIACULT 2022, which recognized culture as a global good, the papers examine the ...
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This research explores an innovative approach to enhancing the accuracy of detecting small microorganisms in complex microscopic environments. Our study introduces a streamlined, hybrid image pre-processing model specifically designed to address the challenges of identifying diplococci in live microscopy of dynamic samples. By integrating pre-defined filtering techniques with predictive adjustments for optimal applicability, our method ...
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Advances in Neural Computation, Machine Learning, and Cognitive Research IX
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Specialized Non-local Blocks for Recognizing Tumors on Computed Tomography Snapshots of Human Lungs
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This research endeavor is dedicated to the integration of specialized attentional mechanisms within the intricate web of deep neural network architectures aimed at discerning indications of lung carcinoma from monochromatic snapshots derived from computerized axial tomography. Within this exploration, we propose a myriad of adaptations to the traditional non-local blocks, infusing them with bespoke attentional ...
Added: September 19, 2026
AutoML Applications for Bacilli Recognition by Taxonomic Characteristics Determination over Microscopic Images
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Added: September 19, 2026
Proceedings of the 36th Conference of Open Innovations Association FRUCT, Helsinki, Finland, 30 October - 1 November 2024
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Lightweight Image Pre-processing Model for Improving Segmentation of Infrared Human Eye Images
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This study focuses on improving iris and pupil segmentation in infrared images, a crucial task for gaze-tracking systems. We propose a lightweight image preprocessing approach, which ensures controlled data transformation, effectively eliminating parasitic reflections, noise, and contrast inconsistencies without introducing unwanted artifacts. Our approach employs analytically defined transformations, incorporating local and global filtering techniques to ...
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Proceedings of the 37th Conference of Open Innovations Association FRUCT
Helsinki: FRUCT Oy, 2025.
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Proceedings of the 39th Conference of Open Innovations Association FRUCT
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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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If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...
Added: June 23, 2026
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