Titlebook: Visual Domain Adaptation in the Deep Learning Era; Gabriela Csurka,Timothy M. Hospedales,Tatiana Tomm Book 2022 Springer Nature Switzerlan

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書目名稱Visual Domain Adaptation in the Deep Learning Era影響因子(影響力)




書目名稱Visual Domain Adaptation in the Deep Learning Era影響因子(影響力)學(xué)科排名




書目名稱Visual Domain Adaptation in the Deep Learning Era網(wǎng)絡(luò)公開度




書目名稱Visual Domain Adaptation in the Deep Learning Era網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Visual Domain Adaptation in the Deep Learning Era被引頻次




書目名稱Visual Domain Adaptation in the Deep Learning Era被引頻次學(xué)科排名




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書目名稱Visual Domain Adaptation in the Deep Learning Era年度引用學(xué)科排名




書目名稱Visual Domain Adaptation in the Deep Learning Era讀者反饋




書目名稱Visual Domain Adaptation in the Deep Learning Era讀者反饋學(xué)科排名

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長處

Gabriela Csurka,Timothy M. Hospedales,Mathieu Salzmann,Tatiana Tommasi the physiological and pharmacological points of view. In the current volume, chapters are devoted to the catecholamines, which for a number of reasons were not represented in the earlier volume, and to acetylcholine and the neuropeptides, about which much new information has recently appeared. Volu

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破裂

Gabriela Csurka,Timothy M. Hospedales,Mathieu Salzmann,Tatiana Tommasiiologic mechanisms and in the search for a major hemodynamic or embolic cause. The signs reported and symptoms assessed are useful for localization of the ischemic region of the brain and identification of the affected vascular territories. Even in the case of a typical clinical picture the clinical

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抱狗不敢前

determination. Owing to the large number increasing sophistication applied to these prob- of papers included in this book and the interests lems, are amply demonstrated in this book. of rapid publication, it was not possible to in- A wide variety of topics was discussed at the clude the discussions