7 Publikationen
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2010 | Bielefelder E-Dissertation | PUB-ID: 2486114Hypothesis-based image segmentation for object learning and recognitionPUB | PDF
Denecke, Alexander, Hypothesis-based image segmentation for object learning and recognition. (). Bielefeld, 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969803Incremental Word Learning Using Large-Margin Discriminative Training and Variance Floor EstimationPUB | Datei | Download (ext.)
Ayllon Clemente, Irene, Incremental Word Learning Using Large-Margin Discriminative Training and Variance Floor Estimation. Proceedings INTERSPEECH (). , 2010 -
2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2034035Figure-ground segmentation using metrics adaptation in levelset methodsPUB
Denecke, Alexander, Figure-ground segmentation using metrics adaptation in levelset methods. European Symposium on Artificial Neural Networks (). , 2010 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969815Online figure-ground segmentation with adaptive metrics in Generalized LVQPUB | DOI | WoS
Denecke, Alexander, Online figure-ground segmentation with adaptive metrics in Generalized LVQ. Neurocomputing 72 (7-9). , 2009 -
2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1969825Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQPUB | DOI
Denecke, Alexander, Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM) (). , 2009 -
2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 1969830A Vision Architecture for Unconstrained and Incremental Learning of Multiple CategoriesPUB | DOI
Kirstein, Stephan, A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing 1 (4). , 2009 -
2008 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142096Robust object segmentation by adaptive metrics in Generalized LVQPUB
Denecke, Alexander, Robust object segmentation by adaptive metrics in Generalized LVQ. Proc. of the European Symposium on Artificial Neural Networks (ESANN) (). , 2008