Markus Koskela

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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 ChenAnimal DynamicsVerified 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
Melih KandemirAssociate Professor of Machine Learning at the University of Southern DenmarkVerified email at imada.sdu.dk
Alan F. Smeaton MRIA FIEEE PFHEA...Prof of Computing / Founding Co-Director, Insight Centre for Data Analytics, Dublin City UniversityVerified email at dcu.ie
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
Patrik FloréenUniversity of Helsinki and Aalto UniversityVerified email at helsinki.fi
Sami Sebastian BrandtProfessor at IT University of CopenhagenVerified email at itu.dk
Tommi JantunenUniversity of JyväskyläVerified email at jyu.fi
Hannes GamperMicrosoft ResearchVerified email at microsoft.com
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
Tuukka RuotsaloLUT University and University of CopenhagenVerified email at lut.fi
Timo HonkelaUniversity of HelsinkiVerified email at helsinki.fi

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. Evaluating Predictive Uncertainty, Visual …, 2006	371	2006
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	328	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	279	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, 140-152, 2001	149	2001
An augmented reality interface to contextual information A Ajanki, M Billinghurst, H Gamper, T Järvenpää, M Kandemir, S Kaski, ... Virtual reality 15, 161-173, 2011	131	2011
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	127	1999
Measuring concept similarities in multimedia ontologies: Analysis and evaluations M Koskela, AF Smeaton, J Laaksonen IEEE Transactions on Multimedia 9 (5), 912-922, 2007	74	2007
Convolutional network features for scene recognition M Koskela, J Laaksonen Proceedings of the 22nd ACM international conference on Multimedia, 1169-1172, 2014	69	2014
Skeleton-based action recognition with extreme learning machines X Chen, M Koskela Neurocomputing 149, 387-396, 2015	68	2015
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	62	2000
Online RGB-D gesture recognition with extreme learning machines X Chen, M Koskela Proceedings of the 15th ACM on International conference on multimodal …, 2013	61	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	50	2004
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	48	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	47	2001
Content-based image retrieval using self-organizing maps J Laaksonen, M Koskela, E Oja Visual Information and Information Systems: Third International Conference …, 1999	44	1999
Digital me: Controlling and making sense of my digital footprint M Sjöberg, HH Chen, P Floréen, M Koskela, K Kuikkaniemi, T Lehtiniemi, ... Symbiotic Interaction: 5th International Workshop, Symbiotic 2016, Padua …, 2017	43	2017
PicSOM Experiments in TRECVID 2005. M Koskela, M Sjöberg, V Viitaniemi, J Laaksonen, P Prentis TRECVID, 2005	39	2005
PicSOM Experiments in TRECVID 2006. M Sjöberg, H Muurinen, J Laaksonen, M Koskela TRECVID, 2006	35	2006
Interactive image retrieval using self-organizing maps M Koskela Helsinki University of Technology, 2003	34	2003
The PicSOM retrieval system: description and evaluations M Koskela, J Laaksonen, S Laakso, E Oja The challenge of image retrieval, Brighton, UK, 2000	34	2000

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