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Pattern Recognition and Machine Intelligence. 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings. Lecture Notes in Computer Science book series (LNCS, volume 10597)
Springer, 2017.
Under the general editorship: B. U. Shankar, K. Ghosh, D. P. Mandal, S. S. Ray, D. Zhang, S. Pal
This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017.
The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.
Chapters
Grachev A., Ignatov D. I., Savchenko A., , in: Pattern Recognition and Machine Intelligence. 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings. Lecture Notes in Computer Science book series (LNCS, volume 10597).: Springer, 2017. P. 351–357.
In this paper, we consider several compression techniques for the language modeling problem based on recurrent neural networks (RNNs). It is known that conventional RNNs, e.g., LSTM-based networks in language modeling, are characterized with either high space complexity or substantial inference time. This problem is especially crucial
for mobile applications, in which the constant interaction with ...
Added: October 14, 2018
Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.
The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...
Added: August 21, 2026
Ponomarenko A., / Series Computer Science "arxiv.org". 2025.
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
Piontkovski D., / Series arXiv "math". 2026.
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 ...
Added: June 23, 2026
Piontkovski D., / Series arXiv "math". 2025.
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
Steurer B., Vanhaelen Q., Zhavoronkov A., Journals of Gerontology - Series A Biological Sciences and Medical Sciences 2024 Vol. 79 No. 9
Advancements in healthcare, nutrition, and living conditions have significantly increased human life expectancy, and according to the World Population Prospects 2022 published by the United Nations, the global life expectancy at birth has reached 73.2 years in 2023, and is projected to increase to 77.2 years by 2050. While this represents a remarkable achievement, this ...
Added: May 28, 2026
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Makarov D. M., Kalikin N., Budkov Y. et al., Journal of Chemical Information and Modeling 2025 Vol. 65 No. 8 P. 4043–4056
Accurate solubility prediction in supercritical carbon dioxide (scCO2) is crucial for optimizing experimental
design by eliminating unnecessary and costly trials at an early stage, thereby streamlining the workflow. A comprehensive solubility database containing 31,975 records has been compiled, providing a foundation for developing predictive models applicable to a diverse class of chemical compounds, with a particular ...
Added: April 16, 2025
Tao M., Hao F., Wei L. et al., IEEE Transactions on Computational Social Systems 2024 Vol. 11 No. 6 P. 7373–7385
Attributed social networks are pervasive in real life and play a crucial role in shaping various aspects of society. These networks not only capture the connections between individuals but also encompass the associated attributes and characteristics. Analyzing and understanding these attributes provide insights into social behaviors, information diffusion patterns, and the formation of influential communities. ...
Added: February 25, 2025
Litvinenko N., IEEE Access 2024
Added: December 9, 2024
Afanasev V., Journal of Corporate Finance Research 2023 Vol. 17 No. 1 P. 64–77
The author tested the hypothesis that default prediction based on financial data may be inapplicable to Russian service sector organizations by analyzing the differences in the accuracy of models based solely on financial data for service providers from Russia and developed European countries. Logistic regression, Random Forest and K-nearest neighbors machine learning methods were used as modeling ...
Added: May 21, 2023
Ivliev N., Evdokimova V., Podlipnov V. et al., Remote Sensing 2022 Vol. 14 No. 9 Article 2230
Запущенный в марте 2021 года наноспутник 3U CubeSat стал первым в истории, использующим сверхлегкую гармоническую дифракционную линзу для дистанционного зондирования Земли. В статье описывается платформа CubeSat, которая использовала: синтез, проектирование и производство объективов диаметром 10 мм и фокусным расстоянием 70 мм; изготовленный на заказ корпус камеры с 3D-печатью, изготовленный из металлического сплава с нулевым тепловым расширением; и постобработку ...
Added: May 16, 2022
Ishida E. E., Kornilov M.V., Malanchev K. L. et al., Astronomy and Astrophysics 2021 Vol. 650 Article A195
Aims. We present the first piece of evidence that adaptive learning techniques can boost the discovery of unusual objects within astronomical light curve data sets.
Methods. Our method follows an active learning strategy where the learning algorithm chooses objects that can potentially improve the learner if additional information about them is provided. This new information is ...
Added: February 9, 2022
Panvlyuchenko, K., Panfilov, P., , in: MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems.: NY: Association for Computing Machinery (ACM), 2021. P. 167–170.
Many organizations inside FMCG industry tries to improve their business process and make them more effective, by implementing different technologies, one of the is predictive analytics. This technology used in spheres like planning and forecasting product sales. Because market trend is very unstable, company needs to know how much to produce. This work focuses on ...
Added: January 15, 2022
Soghoyan G., Ледовский А., Некрашевич М. et al., Frontiers in Neuroinformatics 2021 Vol. 15 Article 720229
Independent Component Analysis (ICA) is a conventional approach to exclude non-brain signals such as eye movements and muscle artifacts from electroencephalography (EEG). A rejection of independent components (ICs) is usually performed in semiautomatic mode and requires experts’ involvement. As also revealed by our study, experts’ opinions about the nature of a component often disagree, highlighting ...
Added: December 4, 2021
Klyachko Elena, Grebenkin D., Nosenko D. et al., , in: Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 16–19 июня 2021 г.)Issue 20.: Russian State University for the Humanitie, 2021.
Added: September 29, 2021
Knill K., Gales M., Kyriakopoulos K. et al., , in: Interspeech 2018.: International Speech Communication Association, 2018. P. 1641–1645.
In free speaking tests candidates respond in spontaneous speech to prompts. This form of test allows the spoken language proficiency of a non-native speaker of English to be assessed more fully than read aloud tests. As the candidate's responses are unscripted, transcription by automatic speech recognition (ASR) is essential for automated assessment. ASR will never ...
Added: November 20, 2020
Savchenko L., Информационные технологии 2020 Т. 26 № 5 С. 290–296
article deals with the problem of isolated words recognition based on deep convolutional neural networks. The use of
existing recognition systems in practice is limited by an insufficiently high degree of their reliability functioning in conditions of intense acoustic noise, such as street noise, sounds from passing vehicles, etc. Nowadays, the most accurate recognition methods are characterized by ...
Added: September 2, 2020
Filipenkov N., Заворотная М. П., Управление финансовыми рисками 2020 Т. 62 № 2 С. 86–90
This article is based on the interview with M.Bukhtin (Head of Risk Modeling Department, the Central Bank of Russia) by M. Zavorotnaya and N. Filipenkov ...
Added: August 16, 2020