Markus Koskela
Markus Koskela
Machine learning specialist at CSC
Verified email at csc.fi - Homepage
TitleCited byYear
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
2992000
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
2662005
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
2612002
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
1392001
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
1091999
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
732011
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
562000
Convolutional network features for scene recognition
M Koskela, J Laaksonen
Proceedings of the 22nd ACM international conference on Multimedia, 1169-1172, 2014
522014
Measuring concept similarities in multimedia ontologies: Analysis and evaluations
M Koskela, AF Smeaton, J Laaksonen
IEEE Transactions on Multimedia 9 (5), 912-922, 2007
522007
Skeleton-based action recognition with extreme learning machines
X Chen, M Koskela
Neurocomputing 149, 387-396, 2015
482015
Online RGB-D gesture recognition with extreme learning machines
X Chen, M Koskela
Proceedings of the 15th ACM on International conference on multimodal …, 2013
482013
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
451999
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
442004
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
432001
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
422004
PicSOM Experiments in TRECVID 2007.
M Koskela, M Sjöberg, V Viitaniemi, J Laaksonen, P Prentis
TRECVID, 2007
352007
The PicSOM retrieval system: description and evaluations
M Koskela, J Laaksonen, S Laakso, E Oja
The challenge of image retrieval, Brighton, UK, 2000
342000
PicSOM experiments in TRECVID 2006
M Sjöberg, H Muurinen, J Laaksonen, M Koskela
Proceedings of the TRECVID 2006 Workshop, Gaithersburg, MD, USA, 2006
332006
Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval.
M Koskela, J Laaksonen
PRIS, 72-79, 2003
312003
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
301999
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Articles 1–20