Oleg Seredin

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 16

Top Topics

Support Vectors

Global Motion Estimation

Top Venues

VISIGRAPP (4: VISAPP)

AIST (Supplement)

Int. J. Speech Technol.

Publications

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)
Oleg Seredin, Daniil Liakhov, Nikita Lomov, Olesia Kushnir, Andrey Kopylov
Greedy Algorithm for Fast Finding Curvilinear Symmetry of Binary Raster Images. AIST (2023)
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) (2020)
Sofia Fedotova, Olesia Kushnir, Oleg Seredin
Comparison of Binary Images based on Jaccard Measure using Symmetry Information. VISIGRAPP (4: VISAPP) (2020)
Aleksandr O. Larin, Oleg Seredin, Andrey Kopylov
Reducing the Impact of Outliers on the One-Class Classification Decision Rule. ICFNDS (2020)
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)
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)
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) (2018)
Vladimir Vakourin, Andrei V. Kopylov, Oleg Seredin, Konstantin Mertsalov
Active Learning Strategy for Text Categorization Based on Support Vectors Relative Positioning. AIST (Supplement) (2017)
Vadim Mottl, Oleg Seredin, Olga Krasotkina
Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning. Braverman Readings in Machine Learning (2017)
Anton Malenichev, Olga Krasotkina, Vadim Mottl, Oleg Seredin
Multi-class Classification in Big Data. AIST (Supplement) (2016)
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 (2016)
Olesia Kushnir, Sofia Fedotova, Oleg Seredin, Alexander N. Karkishchenko
Reflection Symmetry of Shapes Based on Skeleton Primitive Chains. AIST (2016)
Valentina Sulimova, Oleg Seredin, Vadim Mottl
Recognition of Herpes Viruses on the Basis of a New Metric for Protein Sequences. IDP (2016)
Olesia Kushnir, Oleg Seredin
Shape Matching Based on Skeletonization and Alignment of Primitive Chains. AIST (2015)
Olga Krasotkina, Oleg Seredin, Vadim Mottl
Supervised Selective Combination of Diverse Object-Representation Modalities for Regression Estimation. MCS (2015)
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)
Anna Gubareva, Valentina Sulimova, Oleg Seredin, Aleksandr Larin, Vadim Mottl
Finding the Largest Hypercavity in a Linear Data Space. ICPR (2014)
Olesia Kushnir, Oleg Seredin
Parametric Description of Skeleton Radial Function by Legendre Polynomials for Binary Images Comparison. ICISP (2014)
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)
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)
Oleg Seredin, Vadim Mottl, Alexander Tatarchuk, Nikolay Razin, David Windridge
Convex support and Relevance Vector Machines for selective multimodal pattern recognition. ICPR (2012)
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)
Nikolay Degtyarev, Oleg Seredin
A Geometric Approach to Face Detector Combining. MCS (2011)
Nikolay Degtyarev, Oleg Seredin
Comparative Testing of Face Detection Algorithms. ICISP (2010)
Oleg Seredin, Andrey Kopylov, Vadim Mottl
Selection of Subsets of Ordered Features in Machine Learning. MLDM (2009)
Oleg Seredin, Andrey Kopylov, Vadim Mottl
Selection of Subsets of Ordered Features in Machine Learning. Trans. Mach. Learn. Data Min. 2 (2) (2009)
Vadim Mottl, Alexander Tatarchuk, Valentina Sulimova, Olga Krasotkina, Oleg Seredin
Combining Pattern Recognition Modalities at the Sensor Level Via Kernel Fusion. MCS (2007)
Vadim Mottl, Olga Krasotkina, Oleg Seredin, Ilya B. Muchnik
Principles of Multi-kernel Data Mining. MLDM (2005)
Vadim Mottl, Oleg Seredin, Sergey D. Dvoenko, Casimir A. Kulikowski, Ilya B. Muchnik
Featureless Pattern Recognition in an Imaginary Hilbert Space. ICPR (2) (2002)
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)