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Fast approximate energy minimization with label costs
P. 2173–2180.
Delong A., Osokin A., Isack H., Boykov Y.
The α-expansion algorithm [4] has had a significant impact in computer vision due to its generality, effectiveness, and speed. Thus far it can only minimize energies that involve unary, pairwise, and specialized higher-order terms. Our main contribution is to extend α-expansion so that it can simultaneously optimize “label costs” as well. An energy with label costs can penalize a solution based on the set of labels that appear in it. The simplest special case is to penalize the number of labels in the solution. Our energy is quite general, and we prove optimality bounds for our algorithm. A natural application of label costs is multi-model fitting, and we demonstrate several such applications in vision: homography detection, motion segmentation, and unsupervised image segmentation. Our C++/MATLAB implementation is publicly available.
In book
San Francisco: IEEE, 2010.
Lebedev O. B., Лебедев Б. К., Бесхмельнов М. И., Известия ЮФУ. Технические науки 2024 № 2(242) С. 177–190
This article examines algorithms for generating motion trajectories for unmanned aerial vehicles (UAVs) during search-and-rescue and emergency response operations. It describes methods and algorithms for controlling the movement of a UAV group in various formations—such as line, rank, column, and during turns. Control is achieved through alternative collective adaptation algorithms based on principles of collective ...
Added: September 13, 2026
Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, 2026.
Added: August 24, 2026
Kristan M., Matas J., Tokmakov P. et al., , in: 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).: Honolulu: IEEE, 2025. P. 7472–7490.
The VOTS2025 is the third edition of the Visual Object Tracking Segmentation benchmark. Organised the VOT initiative, VOTS builds on 10 years of experience in organising VOT challenges. Building on the tracking setup introduced in VOTS2023, the challenge continues to integrate short-term and long-term tracking, as well as single-target and multi-target scenarios, using segmentation masks ...
Added: May 3, 2026
Balakina Y. V., Информационное общество 2026 № 1 С. 94–107
The review examines how TikTok's algorithms and users shape media social representations. Algorithms act as subjects of communication, selecting content for user interpretation, while media and users have to adapt. The platform balances algorithm-centric and audience-centric approaches to representation formation. ...
Added: February 28, 2026
Moshkin A., Лапутин Ф. А., Сидоров И. В., DIGITAL DIAGNOSTICS 2024 Т. 5 № S1 С. 40–42
BACKGROUND: Ovarian reserve reflects a woman's ability to successfully realize reproductive function. The assessment of ovarian reserve is an urgent task for clinical practice [1] and is important in scientific research. The use of computerized diagnostic image processing methods can accelerate and facilitate the performance of routine tasks in clinical practice. Their use in retrospective ...
Added: February 21, 2026
Prikhodko R., Moshkin A., Romanov A., , in: 2025 International Russian Automation Conference (RusAutoCon).: IEEE, 2025. P. 273–278.
The vertebral arteries are one of the most important sources of blood supply to the brain, therefore any pathological changes in them can be the reason behind serious diseases. Magnetic Resonance Imaging (MRI) allows diagnosticians to examine main arteries, which is exceptionally important for effective diagnosis. However, because of the small size of arteries relative ...
Added: November 6, 2025
Skorobogatov A., Свиридов О. И., Вопросы экономики 2025 № 1 С. 71–91
The paper studies the association between the artificial intelligence (AI) and employment characteristics. As a theoretical framework, we use the Acemoglu et al. model, which introduces opposing effects of the AI algorithms on labor employment on the firm level such as substitution effect and complimentary/ productivity effects. Depending on their relative strength, the AI algorithms ...
Added: January 14, 2025
T. A. Alvandyan, S. Shalileh, Doklady Mathematics 2024 Vol. 110 No. S1 P. S236–S250
Clustering has always been in great demand by scientific and industrial communities. However, due to the lack of ground truth, interpreting its obtained results can be debatable. The current research provides an empirical benchmark on the efficiency of three popular and one recently proposed crisp clustering methods. To this end, we extensively analyzed these (four) ...
Added: November 30, 2024
Kirichenko V., Галактика медиа: журнал медиа исследований 2024 Т. 6 № 3 С. 376–389
This article is a review of Pippin Barr’s book The Stuff Games Are Made Of (2023), which explores various elements of game worlds. Over the course of ten chapters, including introduction and conclusion, the author of the monograph examine samples with stable basic concepts of computer games and their production. Being a game designer and a theorist, Pippin Barr reflects on many ‘medianized’ ...
Added: September 30, 2024
Edward Elgar Publishing, 2024.
As higher education continues to expand and an increasing number of graduates enter the workforce, this insightful book considers the crucial social and economic questions raised by this societal shift. Fátima Suleman, Pedro Videira and Pedro Teixeira bring together an array of experts to illustrate the connections between higher education and the labour market across ...
Added: August 15, 2024
Diskin E., Закон 2024 № 1 С. 24–28
The issue of the protection of legitimate rights of personas who were defamed is not new in Russian legal science. The problem of protection of honor and dignity was known to classical Roman law, was the subject of study of pre-revolutionary and Soviet lawyers. However, the classic civilistic constructions formulated in the Civil Code were ...
Added: January 30, 2024
Zaev R., Romanov A., Solovyev R., , in: 2023 International Russian Smart Industry Conference (SmartIndustryCon), 27-31 March 2023.: Sochi: IEEE, 2023. P. 460–465.
Medical research has made tremendous progress in detecting various pathologies in the human body. There is still the problem of the speed of the process, and the lack of a sufficient number of trained professionals in this field. Detection of prostate cancer, in particular, without surgery is a very labor- intensive process. A neural network-based ...
Added: July 30, 2023
Stepanyants V., Mantsa Andzhusheva, Romanov A., , in: 2023 International Russian Smart Industry Conference (SmartIndustryCon), 27-31 March 2023.: Sochi: IEEE, 2023. P. 621–626.
Many traffic accidents happen on the roads every day and a lot of them are captured on traffic or dashboard cameras. This data could be used to train machine learning models to predict dangerous situations so that they can be prevented. For that, it should be organized into datasets. Nowadays a limited amount of traffic ...
Added: July 30, 2023
Shchur V., Spirin V., Sirotkin D. et al., PLoS Computational Biology 2022 Vol. 18 No. 8 Article e1010409
Accurate simulation of complex biological processes is an essential component of developing and validating new technologies and inference approaches. As an effort to help contain the COVID-19 pandemic, large numbers of SARS-CoV-2 genomes have been sequenced from most regions in the world. More than 5.5 million viral sequences are publicly available as of November 2021. ...
Added: September 14, 2022
Богомазова Л. В., Экономическая социология 2021 Т. 22 № 5 С. 137–150
A book written by French-born American sociologist Angèle Christin, Metrics at Work: Journalism and the Contested Meaning of Algorithms, is devoted to the specificities of the functioning of publications during the traffic-chase era. The book’s main goal is to show how the implementation of algorithms affects the professional identity and working practices of journalists.
The scholar ...
Added: January 17, 2022
Chernyavskiy A., Ilvovsky D., Nakov P., , in: Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings,* 3.: Springer, 2021. P. 677–693.
Added: November 12, 2021
Springer, 2019.
16th International Symposium, WADS 2019, Edmonton, AB, Canada, August 5–7, 2019, Proceedings ...
Added: October 26, 2021
Kidziński Ł., Ong C., Mohanty S. P. et al., , in: The NeurIPS '18 Competition: From Machine Learning to Intelligent Conversations.: Springer, 2020. P. 69–128.
Added: October 21, 2021
Lebedev A. V., Исраелян Е. А., Маркетинговые коммуникации 2021 № 02(114) С. 124–138
During the pandemic, health has become a core value. Grocery retailers realized the benefits of communicating with eco-consumers. The authors identified customer segments based on their attitude to healthy lifestyles. The article provides data on the gender and age structure of consumers with the average values of receipts, describes portraits of different types of eco-consumers ...
Added: June 10, 2021
Khvostov V., Lukashevich A., Utochkin I. S., Scientific Reports 2021 No. 11 P. 1–8
Added: January 26, 2021
Springer, 2020.
This special issue of Theory of Computing Systems consists of extended journal papers originally presented at the 13th International Computer Science Symposium in Russia (CSR 2018) held on June 6–10, 2018 in Moscow, Russia. The event was hosted by National Research University Higher School of Economics and chaired by Vladimir V. Podolskii. Preliminary versions of ...
Added: October 27, 2020