Markus Koskela - Google Scholar

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	All	Since 2015
Citations	2436	577
h-index	24	11
i10-index	44	13

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Co-authors

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 KandemirBosch Center for AIVerified 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 TechnologiesVerified email at nokia.com
Sami BrandtAssociate Professor, IT University of CopenhagenVerified email at itu.dk
Tommi JantunenUniversity of JyväskyläVerified email at jyu.fi
Patrik FloréenUniversity of Helsinki and Aalto UniversityVerified email at helsinki.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
Kalle PalomäkiAcademy Research FellowVerified email at aalto.fi
Timo HonkelaUniversity of HelsinkiVerified email at helsinki.fi
Ehsan AmidGoogle and University of California, Santa CruzVerified email at ucsc.edu

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


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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	378	2005
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	306	2000
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	265	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 (2-3), 140-152, 2001	140	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	113	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	85	2011
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	58	2000
Measuring concept similarities in multimedia ontologies: Analysis and evaluations M Koskela, AF Smeaton, J Laaksonen IEEE Transactions on Multimedia 9 (5), 912-922, 2007	55	2007
Convolutional network features for scene recognition M Koskela, J Laaksonen Proceedings of the 22nd ACM international conference on Multimedia, 1169-1172, 2014	54	2014
Skeleton-based action recognition with extreme learning machines X Chen, M Koskela Neurocomputing 149, 387-396, 2015	52	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
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	45	1999
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	44	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	44	2001
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	36	2005
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
PicSOM Experiments in TRECVID 2006. M Sjöberg, H Muurinen, J Laaksonen, M Koskela TRECVID, 2006	31	2006
Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval. M Koskela, J Laaksonen PRIS, 72-79, 2003	31	2003
Picsom-a framework for content-based image database retrieval using self-organizing maps JT Laaksonen, JM Koskela, E Oja PROCEEDINGS OF THE SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS 1, 151-156, 1999	31	1999

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