Markus Koskela

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	All	Since 2016
Citations	2407	464
h-index	25	11
i10-index	47	13

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Co-authors

Jorma LaaksonenSenior University Lecturer in Computer Science, Aalto UniversityVerified email at aalto.fi
Erkki OjaProfessor of Computer Science and Engineering, Aalto UniversityVerified email at aalto.fi
Mats SjöbergMachine learning specialist at CSCVerified email at csc.fi
Xi ChenLatent LogicVerified email at robots.ox.ac.uk
Mikko KurimoProfessor in Speech and Language Processing, Aalto University, FinlandVerified email at aalto.fi
Antti AjankiAalto UniversityVerified email at aalto.fi
Alan F. Smeaton MRIA FIEEEProf of Computing / Founding Director, Insight Centre for Data Analytics, Dublin City UniversityVerified email at dcu.ie
Melih KandemirGroup Leader at BCAI, Adjunct Professor at ITUVerified email at de.bosch.com
Kai PuolamäkiAssociate Professor, University of Helsinki, FinlandVerified email at helsinki.fi
Mark BillinghurstEmpathic Computing Laboratory, University of South Australia, Auckland Bioengineering InstituteVerified email at unisa.edu.au
Toni JärvenpääPrincipal Researcher, Nokia Bell LabsVerified email at nokia.com
Sami BrandtAssociate Professor, IT University of CopenhagenVerified email at itu.dk
Patrik FloréenUniversity of Helsinki and Aalto UniversityVerified email at helsinki.fi
Tommi JantunenUniversity of JyväskyläVerified email at jyu.fi
Hannes GamperMicrosoft ResearchVerified email at aalto.fi
Zhirong YangProfessor at Department of Computer Science, Norwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Jaakko PeltonenProfessor, Tampere UniversityVerified email at tuni.fi
Tuukka LehtiniemiUniversity of HelsinkiVerified email at helsinki.fi
Timo HonkelaUniversity of HelsinkiVerified email at helsinki.fi
Mehmet GönenAssociate Professor of Industrial Engineering and Computational Biology, Koç UniversityVerified email at ku.edu.tr

Markus Koskela

Machine learning specialist at CSC

Verified email at csc.fi - Homepage

computer vision multimedia machine learning neural networks and deep learning GPU computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
PicSOM–content-based image retrieval with self-organizing maps J Laaksonen, M Koskela, S Laakso, E Oja Pattern recognition letters 21 (13-14), 1199-1207, 2000	310	2000
The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges Workshop, 117-176, 2005	297	2005
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors J Laaksonen, M Koskela, E Oja IEEE Transactions on Neural Networks 13 (4), 841-853, 2002	267	2002
Self-organising maps as a relevance feedback technique in content-based image retrieval J Laaksonen, M Koskela, S Laakso, E Oja Pattern Analysis & Applications 4 (2), 140-152, 2001	141	2001
Picsom: Self-organizing maps for content-based image retrieval J Laaksonen, M Koskela, E Oja IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999	119	1999
An augmented reality interface to contextual information A Ajanki, M Billinghurst, H Gamper, T Järvenpää, M Kandemir, S Kaski, ... Virtual reality 15 (2-3), 161-173, 2011	87	2011
Measuring concept similarities in multimedia ontologies: Analysis and evaluations M Koskela, AF Smeaton, J Laaksonen IEEE Transactions on Multimedia 9 (5), 912-922, 2007	59	2007
Analyzing low-level visual features using content-based image retrieval J Laaksonen, E Oja, M Koskela, S Brandt Proc int’l conf neural information processing, Taejon, 14-18, 2000	59	2000
Convolutional network features for scene recognition M Koskela, J Laaksonen Proceedings of the 22nd ACM international conference on Multimedia, 1169-1172, 2014	58	2014
Skeleton-based action recognition with extreme learning machines X Chen, M Koskela Neurocomputing 149, 387-396, 2015	55	2015
Online RGB-D gesture recognition with extreme learning machines X Chen, M Koskela Proceedings of the 15th ACM on International conference on multimodal …, 2013	52	2013
Use of image subset features in image retrieval with self-organizing maps M Koskela, J Laaksonen, E Oja International Conference on Image and Video Retrieval, 508-516, 2004	47	2004
Comparison of techniques for content-based image retrieval M Koskela, J Laaksonen, E Oja Proceedings of the Scandinavian Conference on Image Analysis, 579-586, 2001	45	2001
Content-based image retrieval using self-organizing maps J Laaksonen, M Koskela, E Oja International Conference on Advances in Visual Information Systems, 541-549, 1999	43	1999
Class distributions on SOM surfaces for feature extraction and object retrieval JT Laaksonen, JM Koskela, E Oja Neural Networks 17 (8-9), 1121-1133, 2004	41	2004
PicSOM Experiments in TRECVID 2005. M Koskela, M Sjöberg, V Viitaniemi, J Laaksonen, P Prentis TRECVID, 2005	37	2005
PicSOM Experiments in TRECVID 2006. M Sjöberg, H Muurinen, J Laaksonen, M Koskela TRECVID, 2006	33	2006
The PicSOM retrieval system: description and evaluations M Koskela, J Laaksonen, S Laakso, E Oja The challenge of image retrieval, Brighton, UK, 2000	33	2000
Self-organizing maps for content-based image database retrieval E Oja, J Laaksonen, M Koskela, S Brandt Kohonen Maps, 349-362, 1999	32	1999
Interactive image retrieval using self-organizing maps M Koskela Helsinki University of Technology, 2003	31	2003

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