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ORCIDOleg Seredin
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2020 – today
- 2023
[c28]Oleg Seredin
, Daniil Liakhov, Nikita Lomov, Olesia Kushnir, Andrey Kopylov:
Greedy Algorithm for Fast Finding Curvilinear Symmetry of Binary Raster Images. AIST 2023: 241-251- [c27]Nikita Lomov, Oleg Seredin, Olesia Kushnir, Daniil Liakhov:
Search for Rotational Symmetry of Binary Images via Radon Transform and Fourier Analysis. VISIGRAPP (4: VISAPP) 2023: 280-289 - 2020
- [j4]Andrei V. Kopylov, Oleg Seredin, Andrei Filin, Boris Tyshkevich:
Detection of interactive voice response (IVR) in phone call records. Int. J. Speech Technol. 23(4): 907-915 (2020) - [c26]Aleksandr O. Larin, Oleg Seredin, Andrey Kopylov:
Reducing the Impact of Outliers on the One-Class Classification Decision Rule. ICFNDS 2020: 55:1-55:5 - [c25]Aleksandr O. Larin, Oleg S. Seredin, Andrey V. Kopylov:
One-Class Classification Criterion Robust to Anomalies in Training Dataset. ICPR Workshops (5) 2020: 155-165 - [c24]Sofia Fedotova, Olesia Kushnir, Oleg Seredin:
Comparison of Binary Images based on Jaccard Measure using Symmetry Information. VISIGRAPP (4: VISAPP) 2020: 398-404
2010 – 2019
- 2018
- [j3]Ling-Feng Shi, Bo-Hao Chen, Shih-Chia Huang, Alexander Olegovich Larin, Oleg Seredin, Andrei V. Kopylov, Sy-Yen Kuo:
Removing Haze Particles From Single Image via Exponential Inference With Support Vector Data Description. IEEE Trans. Multim. 20(9): 2503-2512 (2018) - [c23]Andrey Kopylov, Oleg Seredin, Olesia Kushnir, Inessa Gracheva, Aleksandr Larin:
Background-Invariant Robust Hand Detection based on Probabilistic One-Class Color Segmentation and Skeleton Matching. ICPRAM 2018: 503-510 - [c22]Munkhjargal Gochoo, Tan-Hsu Tan, Tsedevdorj Batjargal, Oleg Seredin, Shih-Chia Huang:
Device-Free Non-Privacy Invasive Indoor Human Posture Recognition Using Low-Resolution Infrared Sensor-Based Wireless Sensor Networks and DCNN. SMC 2018: 2311-2316 - 2017
- [c21]Vladimir Vakourin, Andrei V. Kopylov, Oleg Seredin, Konstantin Mertsalov:
Active Learning Strategy for Text Categorization Based on Support Vectors Relative Positioning. AIST (Supplement) 2017: 146-155 - [c20]Vadim Mottl, Oleg Seredin, Olga Krasotkina:
Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning. Braverman Readings in Machine Learning 2017: 52-102 - 2016
- [j2]Bo-Hao Chen, Andrey Kopylov, Shih-Chia Huang, Oleg Seredin, Roman Karpov, Sy-Yen Kuo, K. Robert Lai, Tan-Hsu Tan, Munkhjargal Gochoo, Damdinsuren Bayanduuren, Cihun-Siyong Alex Gong, Patrick C. K. Hung:
Improved global motion estimation via motion vector clustering for video stabilization. Eng. Appl. Artif. Intell. 54: 39-48 (2016) - [c19]Anton Malenichev, Olga Krasotkina, Vadim Mottl, Oleg Seredin:
Multi-class Classification in Big Data. AIST (Supplement) 2016: 203-211 - [c18]Olesia Kushnir, Sofia Fedotova, Oleg Seredin, Alexander N. Karkishchenko:
Reflection Symmetry of Shapes Based on Skeleton Primitive Chains. AIST 2016: 293-304 - [c17]Valentina Sulimova, Oleg Seredin, Vadim Mottl:
Recognition of Herpes Viruses on the Basis of a New Metric for Protein Sequences. IDP 2016: 61-73 - 2015
- [c16]Olesia Kushnir, Oleg Seredin:
Shape Matching Based on Skeletonization and Alignment of Primitive Chains. AIST 2015: 123-136 - [c15]Olga Krasotkina, Oleg Seredin, Vadim Mottl:
Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation. MCS 2015: 89-99 - 2014
- [c14]Olesia Kushnir, Oleg Seredin:
Parametric Description of Skeleton Radial Function by Legendre Polynomials for Binary Images Comparison. ICISP 2014: 520-530 - [c13]Anna Gubareva, Valentina Sulimova, Oleg Seredin, Aleksandr Larin, Vadim Mottl:
Finding the Largest Hypercavity in a Linear Data Space. ICPR 2014: 4406-4410 - [c12]Aleksandr Larin, Oleg Seredin, Andrey Kopylov, Sy-Yen Kuo, Shih-Chia Huang, Bo-Hao Chen:
Parametric Representation of Objects in Color Space Using One-Class Classifiers. MLDM 2014: 300-314 - 2013
- [c11]Fan-Chieh Cheng, Bo-Hao Chen, Shih-Chia Huang, Sy-Yen Kuo, Boris Vishnyakov, Andrey Kopylov, Yury Vizilter, Leonid M. Mestetskiy, Oleg Seredin, Oleg Vygolov:
An automatic motion detection algorithm for transport monitoring systems. ISCE 2013: 195-196 - [c10]Yi-Jui Cheng, Bo-Hao Chen, Shih-Chia Huang, Sy-Yen Kuo, Andrey Kopylov, Oleg Seredin, Leonid M. Mestetskiy, Boris Vishnyakov, Yury Vizilter, Oleg Vygolov, Chia-Ruei Lian, Chi-Ting Wu:
Visibility Enhancement of Single Hazy Images Using Hybrid Dark Channel Prior. SMC 2013: 3627-3632 - 2012
- [c9]Oleg Seredin, Vadim Mottl, Alexander Tatarchuk, Nikolay Razin, David Windridge:
Convex support and Relevance Vector Machines for selective multimodal pattern recognition. ICPR 2012: 1647-1650 - [c8]Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Yu. Torshin, Valentina Sulimova, Oleg Seredin, David Windridge:
Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction. PRIB 2012: 153-165 - 2011
- [c7]Nikolay Degtyarev, Oleg Seredin:
A Geometric Approach to Face Detector Combining. MCS 2011: 299-308 - 2010
- [c6]Nikolay Degtyarev, Oleg Seredin:
Comparative Testing of Face Detection Algorithms. ICISP 2010: 200-209
2000 – 2009
- 2009
- [j1]Oleg Seredin, Andrey Kopylov, Vadim Mottl:
Selection of Subsets of Ordered Features in Machine Learning. Trans. Mach. Learn. Data Min. 2(2): 65-79 (2009) - [c5]Oleg Seredin, Andrey Kopylov, Vadim Mottl:
Selection of Subsets of Ordered Features in Machine Learning. MLDM 2009: 16-28 - 2007
- [c4]Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin:
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. MCS 2007: 1-12 - 2005
- [c3]Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik:
Principles of Multi-kernel Data Mining. MLDM 2005: 52-61 - 2002
- [c2]Vadim Mottl, Oleg Seredin, Sergey D. Dvoenko, Casimir A. Kulikowski, Ilya B. Muchnik:
Featureless Pattern Recognition in an Imaginary Hilbert Space. ICPR (2) 2002: 88-91 - 2001
- [c1]Vadim Mottl, Sergey D. Dvoenko, Oleg Seredin, Casimir A. Kulikowski, Ilya B. Muchnik:
Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification. MLDM 2001: 322-336
Coauthor Index
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