Zobrazeno 1 - 10
of 187
pro vyhledávání: '"M. Kawanabe"'
Publikováno v:
IEEE Transactions on Signal Processing. 59:4478-4482
Dimension reduction is a key step in preprocessing large-scale data sets. A recently proposed method named non-Gaussian component analysis searches for a projection onto the non-Gaussian part of a given multivariate recording, which is a generalizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e39ec5bc6046c253c7a341bdbaf2c243
https://doi.org/10.1109/tsp.2011.2159600
https://doi.org/10.1109/tsp.2011.2159600
Publikováno v:
IEEE Transactions on Applied Superconductivity. 17:2647-2650
Tightly shrunk Sn-Ta ingots with good workability were prepared by the reaction at 750degC-800degC from the mixed powder of Sn and Ta containing 25-30at%Ta. Then jelly roll processed wires were fabricated starting from Sn-Ta/Nb composites in which th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20028a06ac5cbb30163cc0409eb39bc0
https://doi.org/10.1109/tasc.2007.899404
https://doi.org/10.1109/tasc.2007.899404
Akademický článek
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Publikováno v:
Journal of Comparative Pathology. 124:265-272
The neuropathogenesis of equine herpesvirus 9 (EHV-9) in pigs was investigated by intranasal inoculation of the virus together with intramuscular administration of dexamethasone (DM). All infected pigs developed characteristic meningo-encephalitis, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3ac05dc5f6cc4c4758e629eb991f54d
https://doi.org/10.1053/jcpa.2000.0461
https://doi.org/10.1053/jcpa.2000.0461
Autor:
Merlin A. Dillon, Richard T. Sparks, Jorge A. Delgado, Randall J. Ristau, Lawrence M. Kawanabe, Ronald R. Riggenbach
Publikováno v:
Soil Science Society of America Journal. 65:878-883
Well water NO 3 - -N concentrations have been found to exceed 10 mg L -1 of NO 3 - -N for some areas of the San Luis Valley (SLV) of South-Central Colorado. The region's predominant soils are sandy soils, with a dominant potato (Solanum tuberosum L.)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f576eee03332f5bade9d3d69f8eecfd
https://doi.org/10.2136/sssaj2001.653878x
https://doi.org/10.2136/sssaj2001.653878x
Autor:
R. T. Sparks, R. R. Riggenbach, M. J. Shaffer, Merlin A. Dillon, R. J. Ristau, H. R. Duke, L. M. Kawanabe, Ronald F. Follett, A. Kunugi, Jorge A. Delgado, A. Thompson, K. Thompson, A. Stuebe
Publikováno v:
Communications in Soil Science and Plant Analysis. 32:1321-1354
Cropping systems grown over sandy coarse soils are susceptible to nutrient leaching due to local thunderstorms and irrigation. Additionally, erosion can contribute to removal of nutrients, soil organic matter, and fine particles. Balancing nutrients
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb4dd7c1ba16fe6c8cc737a18daf8441
https://doi.org/10.1081/css-100104115
https://doi.org/10.1081/css-100104115
Akademický článek
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Autor:
M. Kawanabe, C. Vidaurre
Publikováno v:
IFMBE Proceedings ISBN: 9783642038884
EEG single-trial analysis requires methods that are robust against noise and disturbance. In this contribution, based on the framework of robust statistics, we propose a simple modification of Common Spatial Patterns by the robust calculation of cova
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https://explore.openaire.eu/search/publication?articleId=doi_________::b3cdda8b32a241ea52e237eb80d52a72
https://doi.org/10.1007/978-3-642-03889-1_75
https://doi.org/10.1007/978-3-642-03889-1_75
Akademický článek
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Autor:
M. Kawanabe
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540287551
ICANN (2)
ICANN (2)
In high dimensional data analysis, finding non-Gaussian components is an important preprocessing step for efficient information processing. By modifying the contrast function of JADE algorithm for Independent Component Analysis, we propose a new line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc30f79c9596c60fa42f9e52d954a264
https://doi.org/10.1007/11550907_25
https://doi.org/10.1007/11550907_25