Travelled to:1 × Canada
1 × Japan
1 × Russia
1 × Sweden
3 × Germany
Collaborated with:V.Mottl I.B.Muchnik A.Kopylov S.Dvoenko C.A.Kulikowski A.Larin O.Krasotkina A.Gubareva V.Sulimova A.Tatarchuk N.Razin D.Windridge S.Kuo S.Huang B.Chen
Talks about:space (4) recognit (3) pattern (3) featureless (2) imaginari (2) hilbert (2) select (2) machin (2) data (2) represent (1)
Person: Oleg Seredin
DBLP: Seredin:Oleg
Contributed to:
2014
201420122009200520022001Wrote 7 papers:
- ICPR-2014-GubarevaSSLM #linear
- Finding the Largest Hypercavity in a Linear Data Space (AG, VS, OS, AL, VM), pp. 4406–4410.
- MLDM-2014-LarinSKKHC #classification #parametricity #representation #using
- Parametric Representation of Objects in Color Space Using One-Class Classifiers (AL, OS, AK, SYK, SCH, BHC), pp. 300–314.
- ICPR-2012-SeredinMTRW #multimodal #pattern matching #pattern recognition #recognition
- Convex support and Relevance Vector Machines for selective multimodal pattern recognition (OS, VM, AT, NR, DW), pp. 1647–1650.
- MLDM-2009-SeredinKM #machine learning #order #set
- Selection of Subsets of Ordered Features in Machine Learning (OS, AK, VM), pp. 16–28.
- MLDM-2005-MottlKSM #data mining #kernel #mining #multi
- Principles of Multi-kernel Data Mining (VM, OK, OS, IBM), pp. 52–61.
- ICPR-v2-2002-MottlSDKM #pattern matching #pattern recognition #recognition
- Featureless Pattern Recognition in an Imaginary Hilbert Space (VM, OS, SD, CAK, IBM), pp. 88–91.
- MLDM-2001-MottlDSKM #classification #pattern matching #pattern recognition #recognition
- Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification (VM, SD, OS, CAK, IBM), pp. 322–336.