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2010 – 2019
- 2018
[j9]Markus Koskela
, Petri Luukkonen, Tuukka Ruotsalo, Mats Sjöberg, Patrik Floréen:
Proactive Information Retrieval by Capturing Search Intent from Primary Task Context. ACM Trans. Interact. Intell. Syst. 8(3): 20:1-20:25 (2018)- 2016
- [c47]Mats Sjöberg, Hung-Han Chen, Patrik Floréen, Markus Koskela, Kai Kuikkaniemi, Tuukka Lehtiniemi, Jaakko Peltonen:
Digital Me: Controlling and Making Sense of My Digital Footprint. Symbiotic 2016: 155-167 - [i1]Petri Luukkonen, Markus Koskela, Patrik Floréen:
LSTM-Based Predictions for Proactive Information Retrieval. CoRR abs/1606.06137 (2016) - 2015
- [j8]Xi Chen, Markus Koskela:
Skeleton-based action recognition with extreme learning machines. Neurocomputing 149: 387-396 (2015) - [c46]Satoru Ishikawa, Rao Muhammad Anwer, Markus Koskela, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2015. TRECVID 2015 - 2014
- [j7]Joni-Kristian Kämäräinen, Markus Koskela:
Best of 18th Scandinavian Conference On Image Analysis 2013. Pattern Recognit. Lett. 49: 249 (2014) - [c45]Xi Chen, Markus Koskela:
Using Appearance-Based Hand Features for Dynamic RGB-D Gesture Recognition. ICPR 2014: 411-416 - [c44]Markus Koskela, Jorma Laaksonen:
Convolutional Network Features for Scene Recognition. ACM Multimedia 2014: 1169-1172 - [c43]Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2014. TRECVID 2014 - 2013
- [c42]Xi Chen, Markus Koskela:
Sequence Alignment for RGB-D and Motion Capture Skeletons. ICIAR 2013: 630-639 - [c41]Antti Ajanki, Markus Koskela, Jorma Laaksonen, Samuel Kaski:
Adaptive timeline interface to personal history data. ICMI 2013: 229-236 - [c40]Xi Chen, Markus Koskela:
Online RGB-D gesture recognition with extreme learning machines. ICMI 2013: 467-474 - [c39]He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja:
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. ICONIP (3) 2013: 166-175 - [c38]Mats Sjöberg, Markus Koskela, Satoru Ishikawa, Jorma Laaksonen:
Large-scale visual concept detection with explicit kernel maps and power mean SVM. ICMR 2013: 239-246 - [c37]Xi Chen, Markus Koskela:
Classification of RGB-D and Motion Capture Sequences Using Extreme Learning Machine. SCIA 2013: 640-651 - [c36]Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Erkki Oja, Ehsan Amid, Kalle J. Palomäki, Annamaria Mesaros, Mikko Kurimo:
PicSOM Experiments in TRECVID 2013. TRECVID 2013 - [e1]Joni-Kristian Kämäräinen, Markus Koskela:
Image Analysis, 18th Scandinavian Conference, SCIA 2013, Espoo, Finland, June 17-20, 2013. Proceedings. Lecture Notes in Computer Science 7944, Springer 2013, ISBN 978-3-642-38885-9 [contents] - 2012
- [c35]Mats Sjöberg, Markus Koskela, Satoru Ishikawa, Jorma Laaksonen:
Real-time large-scale visual concept detection with linear classifiers. ICPR 2012: 421-424 - [c34]Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2012. TRECVID 2012 - 2011
- [j6]Antti Ajanki, Mark Billinghurst, Hannes Gamper, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, Teemu Ruokolainen, Timo Tossavainen:
An augmented reality interface to contextual information. Virtual Real. 15(2-3): 161-173 (2011) - [c33]Xi Chen, Markus Koskela:
Mobile Visual Search from Dynamic Image Databases. SCIA 2011: 196-205 - [c32]Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2011. TRECVID 2011 - 2010
- [c31]Xi Chen, Markus Koskela, Jouko Hyväkkä:
Image based information access for mobile phones. CBMI 2010: 1-5 - [c30]Mats Sjöberg, Markus Koskela, Ville Viitaniemi, Jorma Laaksonen:
PicSOM Experiments in ImageCLEF RobotVision. ICPR Contests 2010: 190-199 - [c29]Mats Sjöberg, Markus Koskela, Milen Chechev, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2010. TRECVID 2010
2000 – 2009
- 2009
- [c28]Philip Prentis, Mats Sjöberg, Markus Koskela, Jorma Laaksonen:
Image Theft Detection with Self-Organising Maps. ICANN (1) 2009: 495-504 - [c27]Markus Koskela, Mats Sjöberg, Jorma Laaksonen:
Improving Automatic Video Retrieval with Semantic Concept Detection. SCIA 2009: 480-489 - [c26]Mats Sjöberg, Ville Viitaniemi, Markus Koskela, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2009. TRECVID 2009 - 2008
- [c25]Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen:
PicSOM Experiments in TRECVID 2008. TRECVID 2008 - [c24]Ville Viitaniemi, Mats Sjöberg, Markus Koskela, Jorma Laaksonen:
Exploiting Temporal and Inter-concept Co-occurrence Structure to Detect High-Level Features in Broadcast Videos. WIAMIS 2008: 12-15 - 2007
- [j5]Markus Koskela, Alan F. Smeaton, Jorma Laaksonen:
Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations. IEEE Trans. Multim. 9(5): 912-922 (2007) - [c23]Markus Koskela, Alan F. Smeaton:
An empirical study of inter-concept similarities in multimedia ontologies. CIVR 2007: 464-471 - [c22]Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi, Hannes Muurinen:
Rushes summarization with self-organizing maps. TVS 2007: 45-49 - [c21]Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, Philip Prentis:
PicSOM Experiments in TRECVID 2007. TRECVID 2007 - 2006
- [c20]Markus Koskela, Alan F. Smeaton:
Clustering-Based Analysis of Semantic Concept Models for Video Shots. ICME 2006: 45-48 - [c19]Markus Koskela, Jorma Laaksonen:
Semantic Concept Detection from News Videos with Self-Organizing Maps. AIAI 2006: 591-599 - [c18]Emilie Garnaud, Alan F. Smeaton, Markus Koskela:
Evaluation of a Video Annotation Tool Based on the LSCOM Ontology. SAMT (Posters and Demos) 2006 - [c17]Markus Koskela, Peter Wilkins, Tomasz Adamek, Alan F. Smeaton, Noel E. O'Connor:
TRECVid 2006 Experiments at Dublin City University. TRECVID 2006 - [c16]Mats Sjöberg, Hannes Muurinen, Jorma Laaksonen, Markus Koskela:
PicSOM Experiments in TRECVID 2006. TRECVID 2006 - 2005
- [c15]Markus Koskela, Jorma Laaksonen:
Semantic Annotation of Image Groups with Self-organizing Maps. CIVR 2005: 518-527 - [c14]Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - [c13]Markus Koskela, Jorma Laaksonen, Mats Sjöberg, Hannes Muurinen:
PicSOM Experiments in TRECVID 2005. TRECVID 2005 - 2004
- [j4]Jorma Laaksonen, Markus Koskela, Erkki Oja:
Class distributions on SOM surfaces for feature extraction and object retrieval. Neural Networks 17(8-9): 1121-1133 (2004) - [c12]Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, Erkki Oja:
Task-Based User Evaluation of Content-Based Image Database Browsing Systems. CIVR 2004: 234-242 - [c11]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR 2004: 508-516 - [c10]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. ICPR (2) 2004: 1005-1009 - 2003
- [b1]Markus Koskela:
Interactive image retrieval using self-organizing maps. Helsinki University of Technology, Finland, 2003 - [c9]Mika Rummukainen, Jorma Laaksonen, Markus Koskela:
An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM. CIVR 2003: 500-509 - [c8]Markus Koskela, Jorma Laaksonen:
Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval. PRIS 2003: 72-79 - 2002
- [j3]Jorma Laaksonen, Markus Koskela, Erkki Oja:
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. IEEE Trans. Neural Networks 13(4): 841-853 (2002) - [c7]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN 2002: 981-986 - [c6]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) 2002: 1049-1052 - [c5]Markus Koskela, Jorma Laaksonen, Erkki Oja:
MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL 2002: 247-258 - 2001
- [j2]Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja:
Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. Pattern Anal. Appl. 4(2-3): 140-152 (2001) - [c4]Sami Laakso, Jorma Laaksonen, Markus Koskela, Erkki Oja:
Self-Organizing Maps of Web Link Information. WSOM 2001: 146-151 - 2000
- [j1]Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja:
PicSOM - content-based image retrieval with self-organizing maps. Pattern Recognit. Lett. 21(13-14): 1199-1207 (2000) - [c3]Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja:
Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL 2000: 430-441
1990 – 1999
- 1999
- [c2]Jorma Laaksonen, Markus Koskela, Erkki Oja:
PicSOM: self-organizing maps for content-based image retrieval. IJCNN 1999: 2470-2473 - [c1]Jorma Laaksonen, Markus Koskela, Erkki Oja:
Content-Based Image Retrieval Using Self-Organizing Maps. VISUAL 1999: 541-548
Coauthor Index
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