The PASCAL visual object classes challenge 2007 (VOC2007) results M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... | 2603 | 2008 |
SOM_PAK: The self-organizing map program package T Kohonen, J Hynninen, J Kangas, J Laaksonen Technical report 31, 1996, 1996 | 738 | 1996 |
Variants of self-organizing maps J Kangas, T Kohonen, J Laaksonen IEEE transactions on neural networks 1 (1), 93-99, 1990 | 511 | 1990 |
LVQ PAK: The learning vector quantization program package T Kohonen, J Hynninen, J Kangas, J Laaksonen, K Torkkola Technical report 30, 10625-10640, 1996 | 354 | 1996 |
The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, LV Gool, M Allan, CM Bishop, ... Machine Learning Challenges Workshop, 117-176, 2005 | 323 | 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 | 312 | 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 | 266 | 2002 |
LVQ PAK: A program package for the correct application of Learning Vector Quantization algorithms T Kohonen, J Kangas, J Laaksonen, K Torkkola Proc. IJCNN 92, 725-730, 1992 | 216 | 1992 |
Neural and statistical classifiers-taxonomy and two case studies L Holmstrom, P Koistinen, J Laaksonen, E Oja IEEE Transactions on Neural Networks 8 (1), 5-17, 1997 | 187 | 1997 |
Statistical shape features for content-based image retrieval S Brandt, J Laaksonen, E Oja Journal of Mathematical Imaging and Vision 17 (2), 187-198, 2002 | 182 | 2002 |
Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification RM Anwer, FS Khan, J Van De Weijer, M Molinier, J Laaksonen ISPRS journal of photogrammetry and remote sensing 138, 74-85, 2018 | 171 | 2018 |
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 | 147 | 2001 |
Classification with learning k-nearest neighbors J Laaksonen, E Oja Proceedings of International Conference on Neural Networks (ICNN'96) 3, 1480 …, 1996 | 147 | 1996 |
Using diversity of errors for selecting members of a committee classifier M Aksela, J Laaksonen Pattern Recognition 39 (4), 608-623, 2006 | 128 | 2006 |
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 | 120 | 1999 |
An augmented reality interface to contextual information A Ajanki, M Billinghurst, H Gamper, T Järvenpää, M Kandemir, S Kaski, ... Virtual reality 15 (2), 161-173, 2011 | 98 | 2011 |
Frame-and segment-level features and candidate pool evaluation for video caption generation R Shetty, J Laaksonen Proceedings of the 24th ACM international conference on Multimedia, 1073-1076, 2016 | 86 | 2016 |
Deep contextual attention for human-object interaction detection T Wang, RM Anwer, MH Khan, FS Khan, Y Pang, L Shao, J Laaksonen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 78 | 2019 |
SOM_PAK, The self-organizing map program package version 3.1 T Kohonen, J Hynninen, J Kangas, J Laaksonen Laboratory of Computer and Information Science, Helsinki University of …, 1995 | 74 | 1995 |
Paying attention to descriptions generated by image captioning models HR Tavakoli, R Shetty, A Borji, J Laaksonen Proceedings of the IEEE International Conference on Computer Vision, 2487-2496, 2017 | 70 | 2017 |