Jorma Laaksonen and Markus Koskela - Free people check

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SCEAS

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Mika Rummukainen, Jorma Laaksonen, Markus Koskela An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM.

Publications by Jorma Laaksonen - Aalto

research.ics.aalto.fi

Publications by Jorma Laaksonen : 122: Mats Sjöberg, Markus Koskela, Satoru Ishikawa, and Jorma Laaksonen. Real-time large-scale visual concept detection with ...

Artificial Neural Networks — ICANN 2002: International Conference,...

books.google.de

Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps Markus Koskela, Jorma Laaksonen, and Erkki Oja ...

Artificial Neural Networks - ICANN 2006: 16th International...

books.google.de

Markus Koskela, Jorma Laaksonen, Mats Sj ̈oberg, and Hannes Muurinen. PicSOM experiments in TRECVID In Proceedings of the TRECVID

CiteSeerX — PicSOM—Self-organizing image retrieval with MPEG-7...

citeseerx.ist.psu.edu

by Jorma Laaksonen , Associate Member , Markus Koskela , Erkki Oja ... author = {Jorma Laaksonen and Associate Member and Markus Koskela and Erkki Oja},

CiteSeerX — Comparison Of Techniques For Content-Based Image Retrieval

citeseer.ist.psu.edu

BibTeX @INPROCEEDINGS{Koskela01comparisonof, author = {Markus Koskela and Jorma Laaksonen and Erkki Oja}, title = {Comparison Of Techniques For Content …

Evaluating the Performance of Content-Based Image Retrieval Systems |...

link.springer.com

Markus Koskela · (5); Jorma Laaksonen · (5); Sami Laakso · (5); Erkki Oja · ...

Content-based image retrieval systems--reviewing and benchmarking

www.thefreelibrary.com

Furthermore we would like to thank Markus Koskela and Jorma Laaksonen for their help and support with PicSOM, Gianluigi Ciocca and Raimondo Schettini for

All web results to the name "Jorma Laaksonen"

Viitaniemi: Visual Category Detection: An Experimental Perspective,...

lib.tkk.fi

Mats Sjöberg, Markus Koskela, Ville Viitaniemi and Jorma Laaksonen. Indoor location recognition using fusion of SVM-based visual classifiers.

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