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https://doi.org/10.1007/978-3-658-39909-2o improve the solution of such inverse problems. In applications where prior training data are available, sparse manifold learning methods can be adopted to tailor parameter representations to the specific requirements of the prior data. However, a major risk in employing prior training data is the
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查看完整版本: Titlebook: Projektive Geometrie; Von den Grundlagen b Albrecht Beutelspacher,Ute Rosenbaum Textbook 19921st edition Springer Fachmedien Wiesbaden 1992