A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories

Kirstein S, Denecke A, Hasler S, Wersing H, Gross H-M, Körner E (2009)
Memetic Computing 1(4): 291-304.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Memetic Computing
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1
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4
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291-304
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Kirstein S, Denecke A, Hasler S, Wersing H, Gross H-M, Körner E. A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing. 2009;1(4):291-304.
Kirstein, S., Denecke, A., Hasler, S., Wersing, H., Gross, H. - M., & Körner, E. (2009). A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing, 1(4), 291-304. doi:10.1007/s12293-009-0023-x
Kirstein, S., Denecke, A., Hasler, S., Wersing, H., Gross, H. - M., and Körner, E. (2009). A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing 1, 291-304.
Kirstein, S., et al., 2009. A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing, 1(4), p 291-304.
S. Kirstein, et al., “A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories”, Memetic Computing, vol. 1, 2009, pp. 291-304.
Kirstein, S., Denecke, A., Hasler, S., Wersing, H., Gross, H.-M., Körner, E.: A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories. Memetic Computing. 1, 291-304 (2009).
Kirstein, Stephan, Denecke, Alexander, Hasler, Stephan, Wersing, Heiko, Gross, Horst-Michael, and Körner, Edgar. “A Vision Architecture for Unconstrained and Incremental Learning of Multiple Categories”. Memetic Computing 1.4 (2009): 291-304.

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