Integrating Recognition Paradigms in a Multiple-path Architecture
Sagerer G, Bauckhage C, Braun E, Heidemann G, Kummert F, Ritter H, Schlüter D (2001)
In: Advances in Pattern Recognition - ICAPR 2001. Singh S, Murshed N, Kropatsch W (Eds); Lecture notes in computer science, 2013. Berlin: Springer: 202-211.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Sagerer, GerhardUniBi;
Bauckhage, ChristianUniBi;
Braun, ElkeUniBi;
Heidemann, G.;
Kummert, FranzUniBi;
Ritter, HelgeUniBi 
;
Schlüter, Daniel
;
Schlüter, DanielHerausgeber*in
Singh, Sameer;
Murshed, Nabeel;
Kropatsch, Walter
Einrichtung
Abstract / Bemerkung
Four decades of intensive research in computer vision have lead to numerous computational paradigms. This fact is comprehensible since problems like object recognition or scene descriptions are of high complexity, have different aspects and can be attacked by processing various features. In this paper we propose an architecture that combines the advantages of different paradigms in pattern recognition. Voting and Bayesian networks provide a computational framework to integrate approaches to knowledge based and probabilistic reasoning as well as neural computations.
Erscheinungsjahr
2001
Titel des Konferenzbandes
Advances in Pattern Recognition - ICAPR 2001
Serien- oder Zeitschriftentitel
Lecture notes in computer science
Band
2013
Seite(n)
202-211
Konferenz
ICAPR 2001
Konferenzort
Rio de Janeiro, Brazil
Konferenzdatum
2001-03-11 – 2001-03-14
ISBN
978-3-540-41767-5
Page URI
https://pub.uni-bielefeld.de/record/2618799
Zitieren
Sagerer G, Bauckhage C, Braun E, et al. Integrating Recognition Paradigms in a Multiple-path Architecture. In: Singh S, Murshed N, Kropatsch W, eds. Advances in Pattern Recognition - ICAPR 2001. Lecture notes in computer science. Vol 2013. Berlin: Springer; 2001: 202-211.
Sagerer, G., Bauckhage, C., Braun, E., Heidemann, G., Kummert, F., Ritter, H., & Schlüter, D. (2001). Integrating Recognition Paradigms in a Multiple-path Architecture. In S. Singh, N. Murshed, & W. Kropatsch (Eds.), Lecture notes in computer science: Vol. 2013. Advances in Pattern Recognition - ICAPR 2001 (pp. 202-211). Berlin: Springer.
Sagerer, Gerhard, Bauckhage, Christian, Braun, Elke, Heidemann, G., Kummert, Franz, Ritter, Helge, and Schlüter, Daniel. 2001. “Integrating Recognition Paradigms in a Multiple-path Architecture”. In Advances in Pattern Recognition - ICAPR 2001, ed. Sameer Singh, Nabeel Murshed, and Walter Kropatsch, 2013:202-211. Lecture notes in computer science. Berlin: Springer.
Sagerer, G., Bauckhage, C., Braun, E., Heidemann, G., Kummert, F., Ritter, H., and Schlüter, D. (2001). “Integrating Recognition Paradigms in a Multiple-path Architecture” in Advances in Pattern Recognition - ICAPR 2001, Singh, S., Murshed, N., and Kropatsch, W. eds. Lecture notes in computer science, vol. 2013, (Berlin: Springer), 202-211.
Sagerer, G., et al., 2001. Integrating Recognition Paradigms in a Multiple-path Architecture. In S. Singh, N. Murshed, & W. Kropatsch, eds. Advances in Pattern Recognition - ICAPR 2001. Lecture notes in computer science. no.2013 Berlin: Springer, pp. 202-211.
G. Sagerer, et al., “Integrating Recognition Paradigms in a Multiple-path Architecture”, Advances in Pattern Recognition - ICAPR 2001, S. Singh, N. Murshed, and W. Kropatsch, eds., Lecture notes in computer science, vol. 2013, Berlin: Springer, 2001, pp.202-211.
Sagerer, G., Bauckhage, C., Braun, E., Heidemann, G., Kummert, F., Ritter, H., Schlüter, D.: Integrating Recognition Paradigms in a Multiple-path Architecture. In: Singh, S., Murshed, N., and Kropatsch, W. (eds.) Advances in Pattern Recognition - ICAPR 2001. Lecture notes in computer science. 2013, p. 202-211. Springer, Berlin (2001).
Sagerer, Gerhard, Bauckhage, Christian, Braun, Elke, Heidemann, G., Kummert, Franz, Ritter, Helge, and Schlüter, Daniel. “Integrating Recognition Paradigms in a Multiple-path Architecture”. Advances in Pattern Recognition - ICAPR 2001. Ed. Sameer Singh, Nabeel Murshed, and Walter Kropatsch. Berlin: Springer, 2001.Vol. 2013. Lecture notes in computer science. 202-211.
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