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Matjaž Jogan (2008) Incremental Learning of Sparse Representations for Visual Recognition and Categorization. PhD thesis.

Matej Artač and Borut Batagelj and Matjaž Jogan and Žiga Kranjec and Bojan Kverh and Katarina Mele and Peter Peer and Miha Peternel and Franc Solina (2004) Uporabniška programska oprema. Založba FE in FRI, Ljubljana. ISBN 961-6209-48-5

Matjaž Jogan and Matej Artač and Danijel Skočaj and Aleš Leonardis (2003) A Framework for Robust and Incremental Self-Localization. [Dataset] (Unpublished)

Matjaž Jogan and Dušan Bučar and Matej Artač (2003) WAP Kitchen. In: NITIFA 2001 New Information Techologies in Fine Arts, Information Society 2001.

Matjaž Jogan (2002) Eigenspaces of Panoramic Images for Mobile Robot Localization. MSc thesis.

Matej Artač and Matjaž Jogan and Aleš Leonardis (2002) Incremental PCA for on-line visual learning and recognition. In: 16th International Conference on Pattern Recognition, August 11-15, 2002, Quebec City, QC, Canada.

Matjaž Jogan and Aleš Leonardis and Horst Wildenauer and Horst Bischof (2002) Mobile Robot Localization under Varying Illumination. In: Intl. Conference on Pattern Recognition ICPR02, Quebec, Canada.

Matej Artač and Matjaž Jogan and Aleš Leonardis (2002) Mobile robot localization using an incremental eigenspace model. In: 2002 IEEE International Conference on Robotics and Automation, May 11-15, 2002, Washington, D. C..

Matjaž Jogan and Aleš Leonardis (2000) Robust localization using panoramic view-based recogniton. In: 15th International Conference on Pattern Recognition ICPR'00, Barcelona, Spain.

Matjaž Jogan and Aleš Leonardis (2000) Robust localization using the eigenspace of spinning-images. In: IEEE Workshop on Omnidirectional Vision, Hilton Head Island, South Carolina.

Matjaž Jogan (1999) . Prešeren awards for students.

Matjaž Jogan and Aleš Leonardis (1999) Panoramic eigenimages for spatial localisation. In: 8th International Conference on Computer Analysis of Images and Patterns, September 1999, Ljubljana.

This list was generated on čet. 19. dec. 2024 02:32:43 CET.