Result 1 to 15 of 15 total
A life-long learning vector quantization approach for interactive learning of multiple categories. (English)
Neural Netw. 28, 90-105 (2012).
1
Towards autonomous bootstrapping for life-long learning categorization tasks (English)
IJCNN, 1-8 (2010).
2
Large-scale real-time object identification based on analytic features. (English)
Alippi, Cesare (ed.) et al., Artificial neural networks ‒ ICANN 2009. 19th international conference, Limassol, Cyprus, September 14‒17, 2009. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-04276-8/pbk). Lecture Notes in Computer Science 5769, 663-672 (2009).
3
An integrated system for incremental learning of multiple visual categories. (English)
Köppen, Mario (ed.) et al., Advances in neuro-information processing. 15th international conference, ICONIP 2008, Auckland, New Zealand, November 25‒28, 2008. Revised selected papers, Part I. Berlin: Springer (ISBN 978-3-642-02489-4/pbk). Lecture Notes in Computer Science 5506, 813-820 (2009).
4
A vector quantization approach for life-long learning of categories. (English)
Köppen, Mario (ed.) et al., Advances in neuro-information processing. 15th international conference, ICONIP 2008, Auckland, New Zealand, November 25‒28, 2008. Revised selected papers, Part I. Berlin: Springer (ISBN 978-3-642-02489-4/pbk). Lecture Notes in Computer Science 5506, 805-812 (2009).
5
A vision architecture for unconstrained and incremental learning of multiple categories (English)
Memetic Computing 1, No. 4, 291-304 (2009).
6
Large-scale real-time object identification based on analytic features (English)
ICANN (2), 663-672 (2009).
7
Online learning for bootstrapping of object recognition and localization in a biologically motivated architecture. (English)
Gasteratos, Antonios (ed.) et al., Computer vision systems. 6th international conference, ICVS 2008 Santorini, Greece, May 12‒15, 2008. Proceedings. Berlin: Springer (ISBN 978-3-540-79546-9/pbk). Lecture Notes in Computer Science 5008, 383-392 (2008).
8
An integrated system for incremental learning of multiple visual categories (English)
ICONIP (1), 813-820 (2008).
9
A vector quantization approach for life-long learning of categories (English)
ICONIP (1), 805-812 (2008).
10
Online learning for bootstrapping of object recognition and localization in a biologically motivated architecture (English)
ICVS, 383-392 (2008).
11
io-port 70411299 Wersing, Heiko;
Kirstein, Stephan;
Götting, Michael;
Brandl, Holger;
Dunn, Mark;
Mikhailova, Inna;
Goerick, Christian;
Steil, Jochen J.;
Ritter, Helge;
Körner, Edgar
A biologically motivated system for unconstrained online learning of visual objects (English)
ICANN (2), 508-517 (2006).
12
Rapid online learning of objects in a biologically motivated recognition architecture. (English)
Kropatsch, Walter G. (ed.) et al., Pattern recognition. 27th DAGM symposium, Vienna, Austria, August 31‒September 2, 2005. Proceedings. Berlin: Springer (ISBN 978-3-540-28703-2/pbk). Lecture Notes in Computer Science 3663, 301-308 (2005).
13
Online learning for object recognition with a hierarchical visual cortex model (English)
ICANN (1), 487-492 (2005).
14
Rapid online learning of objects in a biologically motivated recognition architecture (English)
DAGM-Symposium, 301-308 (2005).
15
Result 1 to 15 of 15 total
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