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pro vyhledávání: '"Schmidt, D M"'
Using a noise covariance model based on a single Kronecker product of spatial and temporal covariance in the spatiotemporal analysis of MEG data was demonstrated to provide improvement in the results over that of the commonly used diagonal noise cova
Externí odkaz:
http://arxiv.org/abs/physics/0605142
Autor:
Plis, S. M., George, J. S., Jun, S. C., Pare-Blagoev, J., Ranken, D. M., Schmidt, D. M., Wood, C. C.
We propose a new model for approximating spatiotemporal noise covariance for use in MEG/EEG source analysis. Our model is an extension of an existing model [1,2] that uses a single Kronecker product of a pair of matrices - temporal and spatial covari
Externí odkaz:
http://arxiv.org/abs/physics/0503063
Publikováno v:
Journal of the Kansas Entomological Society, 1992 Jan 01. 65(1), 87-90.
Externí odkaz:
https://www.jstor.org/stable/25085331
Knowledge is one of the key factors for company’s success: Companies have to know which knowledge they have, who it has and how it is used within the company to protect and develop their company´s knowledge. Knowledge may be modeled within knowled
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::00f155124ec7592493244283f9e8a01b
https://mediatum.ub.tum.de/1167110
https://mediatum.ub.tum.de/1167110
Companies have to develop their knowledge to provide more complex products to fulfill changing market‘s requirements. We have chosen a Multiple-Domain-Matrix (MDM)-based knowledge mapping approach to visualize companies' knowledge distribution, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::95dfc8e9fe3ec0bd27dacf67a4642d01
https://mediatum.ub.tum.de/1189214
https://mediatum.ub.tum.de/1189214
As stakeholders’ needs and requirements change over time, companies have to develop their knowledge for designing more complex products to fulfill these needs. Knowledge mapping is an approach to visualize companies' knowledge distribution. Scenari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::63db335452f16dbd387a1c1ac06c691f
https://mediatum.ub.tum.de/1189215
https://mediatum.ub.tum.de/1189215
Publikováno v:
2014 IEEE International Conference on Industrial Engineering & Engineering Management; 2014, p1305-1309, 5p
Publikováno v:
2014 IEEE International Conference on Industrial Engineering & Engineering Management; 2014, p297-301, 5p
Autor:
Alexandreas, D E, Allen, G E, Berley, D, Biller, S D, Burman, R L, Cavalli-Sforza, M, Chang, C Y, Chen, M L, Chumney, P, Coyne, D, Dion, C L, Dion, G M, Dorfan, D, Ellsworth, R W, Goodman, J A, Haines, T J, Harmon, M, Hoffman, C M, Kelley, L A, Klein, S, Nagle, D E, Schaller, S C, Schmidt, D M, Schnee, R W, Sinnis, C, Shoup, A L, Stark, M J, Weeks, D D, Williams, D A, Wu, J P, Yang, T, Yodh, G B, Zhang, W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________65::32f437c6abfbeac5e7c9fa37e1a18007
http://cds.cern.ch/record/257942
http://cds.cern.ch/record/257942
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