Zobrazeno 1 - 8
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pro vyhledávání: '"Laar, P.J.L.J. van de"'
Publikováno v:
Laar, P.J.L.J. van deTretmans, G.J.Borth, M., Situation Awareness with Systems of Systems, 89-103
In this chapter we compare two application domains in which the tracking of objects and the analysis of their movements are core activities, viz. animal tracking and vessel tracking. More specifically, we investigate whether EthoVision XT, a research
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Autor:
Hendriks, A.J., Laar, P.J.L.J. van de
Publikováno v:
Procedia Computer Science, 16, 542-551
Much, if not most, information needed to assess a crisis situation originates these days from cooperative sources such as the Internet and social networks. Public safety authorities face the challenge to compile this information of uncertain origin a
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http://resolver.tudelft.nl/uuid:9709ae40-fa10-412a-8157-aa2c846b6f65
Autor:
Laar, P.J.L.J. van de
Publikováno v:
Laar, P.J.L.J. van deTretmans, G.J.Borth, M., Situation Awareness with Systems of Systems, 55-69
In this chapter, we discuss the Poseidon demonstrator: a demonstrator that integrates the individual research results of all partners of the Poseidon project. After describing how the Poseidon demonstrator was built, deployed, and operated, we will n
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http://resolver.tudelft.nl/uuid:42e9c578-84ee-4f49-96b3-db60f1b98257
Autor:
Tretmans, G.J., Laar, P.J.L.J. van de
Publikováno v:
Laar, P.J.L.J. van deTretmans, G.J.Borth, M., Situation Awareness with Systems of Systems, 3-20
This book presents and discusses various challenges and solutions for developing systems-of-systems for attaining situation awareness, with applications in the domain of maritime safety and security. This chapter introduces the book, describes the Du
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http://resolver.tudelft.nl/uuid:80e83322-0dd1-45d1-8631-1f719384ad13
Autor:
Laar, P.J.L.J. van de
Item does not contain fulltext KUN, 12 maart 1999 Promotor : Gielen, C.C.A.M. Co-promotor : Heskes, T.M. 101 p.
Externí odkaz:
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https://repository.ubn.ru.nl/handle/2066/265570
https://repository.ubn.ru.nl/handle/2066/265570
Autor:
Kappen, H.J., Gielen, C.C.A.M., Heskes, T.M., Wiegerinck, W.A.J.J., Barber, D., Laar, P.J.L.J. van de, N., N.
Publikováno v:
N., N. (ed.), RWC'98 : Real World Computing Symposium, Tokyo, Japan, 285-292. Tokyo : [S.n.]
STARTPAGE=285;ENDPAGE=292;TITLE=N., N. (ed.), RWC'98 : Real World Computing Symposium, Tokyo, Japan
N., N. (ed.), RWC'98 : Real World Computing Symposium, Tokyo, Japan, pp. 285-292
STARTPAGE=285;ENDPAGE=292;TITLE=N., N. (ed.), RWC'98 : Real World Computing Symposium, Tokyo, Japan
N., N. (ed.), RWC'98 : Real World Computing Symposium, Tokyo, Japan, pp. 285-292
Contains fulltext : 100977.pdf (Author’s version preprint ) (Open Access)
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https://hdl.handle.net/2066/100977
https://hdl.handle.net/2066/100977
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540636311
ICANN
Gerstner, W.; Germond, A; Hasler, M. (ed.), Artificial Neural Networks-ICANN '97 : 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings, pp. 469-474
Lecture Notes in Computer Science ; 1327, 469-474. Berlin : Springer
STARTPAGE=469;ENDPAGE=474;TITLE=Lecture Notes in Computer Science ; 1327
ICANN
Gerstner, W.; Germond, A; Hasler, M. (ed.), Artificial Neural Networks-ICANN '97 : 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings, pp. 469-474
Lecture Notes in Computer Science ; 1327, 469-474. Berlin : Springer
STARTPAGE=469;ENDPAGE=474;TITLE=Lecture Notes in Computer Science ; 1327
In this article, we describe how input selection can be performed with partial retraining. By detecting and removing irrelevant input variables resources are saved, generalization tends to improve, and the resulting architecture is easier to interpre
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https://doi.org/10.1007/bfb0020199
https://doi.org/10.1007/bfb0020199
Publikováno v:
Kappen, H.J.; Gielen, C.C.A.M. (ed.), Neural Networks: Artificial Intelligence and Industrial Applications, 111-114. [S.l.] : Springer
STARTPAGE=111;ENDPAGE=114;TITLE=Kappen, H.J.; Gielen, C.C.A.M. (ed.), Neural Networks: Artificial Intelligence and Industrial Applications
Kappen, H.J.; Gielen, C.C.A.M. (ed.), Neural Networks: Artificial Intelligence and Industrial Applications, pp. 111-114
Neural Networks: Artificial Intelligence and Industrial Applications ISBN: 9783540199922
SNN Symposium on Neural Networks
STARTPAGE=111;ENDPAGE=114;TITLE=Kappen, H.J.; Gielen, C.C.A.M. (ed.), Neural Networks: Artificial Intelligence and Industrial Applications
Kappen, H.J.; Gielen, C.C.A.M. (ed.), Neural Networks: Artificial Intelligence and Industrial Applications, pp. 111-114
Neural Networks: Artificial Intelligence and Industrial Applications ISBN: 9783540199922
SNN Symposium on Neural Networks
We propose a biologically plausible neural model of selective covert visual attention. We show that this model is able to learn focussing on object-specific features. It has similar learning characteristics as humans in the learning and unlearning pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::045255323e48698639800e0cd328381e
http://hdl.handle.net/2066/100993
http://hdl.handle.net/2066/100993