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Titlebook: Hyperion — terra incognita; Expeditionen in Höld Hansjörg Bay Book 1998 Springer Fachmedien Wiesbaden 1998 Beziehung.Hölderlin.Liebe.Litera

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发表于 2025-3-21 16:56:53 | 显示全部楼层 |阅读模式
书目名称Hyperion — terra incognita
副标题Expeditionen in Höld
编辑Hansjörg Bay
视频videohttp://file.papertrans.cn/431/430651/430651.mp4
概述Neue Wege in der Hölderlin-Forschung
图书封面Titlebook: Hyperion — terra incognita; Expeditionen in Höld Hansjörg Bay Book 1998 Springer Fachmedien Wiesbaden 1998 Beziehung.Hölderlin.Liebe.Litera
出版日期Book 1998
关键词Beziehung; Hölderlin; Liebe; Literatur; Literaturgeschichte; Literaturwissenschaft; Moderne; Musik; Phantasi
版次1
doihttps://doi.org/10.1007/978-3-322-87304-0
isbn_softcover978-3-531-13075-0
isbn_ebook978-3-322-87304-0
copyrightSpringer Fachmedien Wiesbaden 1998
The information of publication is updating

书目名称Hyperion — terra incognita影响因子(影响力)




书目名称Hyperion — terra incognita影响因子(影响力)学科排名




书目名称Hyperion — terra incognita网络公开度




书目名称Hyperion — terra incognita网络公开度学科排名




书目名称Hyperion — terra incognita被引频次




书目名称Hyperion — terra incognita被引频次学科排名




书目名称Hyperion — terra incognita年度引用




书目名称Hyperion — terra incognita年度引用学科排名




书目名称Hyperion — terra incognita读者反馈




书目名称Hyperion — terra incognita读者反馈学科排名




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发表于 2025-3-21 23:56:04 | 显示全部楼层
Hansjörg Bayeceives the 3C image as input is fine-tuned and the best fine-tune manner is determined. Finally, a cascade fine-tune framework is designed to integrate the difference images and 3C image. In this paper, the size of SqueezeNet which is cascade fine-tuned on the basis of the pre-training weights is 5
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Jürgen Link the functional connectivity network for AD classification and functional connectivity analysis. The experimental results demonstrate the proposed method not only improves the classification performance, but also found alteration functional connectivity.
发表于 2025-3-22 07:59:53 | 显示全部楼层
Ute Guzzonieceives the 3C image as input is fine-tuned and the best fine-tune manner is determined. Finally, a cascade fine-tune framework is designed to integrate the difference images and 3C image. In this paper, the size of SqueezeNet which is cascade fine-tuned on the basis of the pre-training weights is 5
发表于 2025-3-22 10:17:10 | 显示全部楼层
Harald Weilnböckeceives the 3C image as input is fine-tuned and the best fine-tune manner is determined. Finally, a cascade fine-tune framework is designed to integrate the difference images and 3C image. In this paper, the size of SqueezeNet which is cascade fine-tuned on the basis of the pre-training weights is 5
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发表于 2025-3-22 20:15:35 | 显示全部楼层
Wolfram Groddeckss to facial bounding box variations, we randomly generate multiple bounding boxes according to the statistical distributions of bounding boxes and use them for initialization during training. Extensive experiments on public databases prove the superiority of our proposed method over state-of-the-ar
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发表于 2025-3-23 01:32:10 | 显示全部楼层
Wolf Kittler palmprint images. Lastly, we reconstruct the super-resolution palmprint images with clear palmprint-specific texture and edge characteristics via two convolutional layers with embedding a PixelShuffle. Experimental results on three public palmprint databases clearly show the effectiveness of the pr
发表于 2025-3-23 06:09:23 | 显示全部楼层
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