Titlebook: Web and Big Data; Third International Jie Shao,Man Lung Yiu,Bin Cui Conference proceedings 2019 Springer Nature Switzerland AG 2019 artifi

Braggart

書目名稱Web and Big Data影響因子(影響力)




書目名稱Web and Big Data影響因子(影響力)學(xué)科排名




書目名稱Web and Big Data網(wǎng)絡(luò)公開度




書目名稱Web and Big Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web and Big Data被引頻次




書目名稱Web and Big Data被引頻次學(xué)科排名




書目名稱Web and Big Data年度引用




書目名稱Web and Big Data年度引用學(xué)科排名




書目名稱Web and Big Data讀者反饋




書目名稱Web and Big Data讀者反饋學(xué)科排名

Indelible

憤憤不平

PANT

Yunpei Zheng,Lin Li,Jianwei Zhang,Qing Xie,Luo Zhongdevelop the subject in a way which would have been impossible otherwise. It is a rapidly growing research field which began to flourish in the 1960s and which is beginning to produce commercial devices. Significant developments have been made, both in the theory and practical engineering of the subj

大炮

Zheng Wang,Cai Na,Zeyu Ma,Si Chen,Lingyun Song,Yang Yangods is that they focus on salient region mining and feature extraction, while ignoring the ability to incorporate discriminative and complementary features from other parts of the image. In order to address this issue, we introduce a novel network known as the Discriminative Region Enhancing and Sup

disciplined

daredevil

Infect

Huanran Xue,Jiawei Jiang,Yingxia Shao,Bin Cui the bias of a classifier is a direct consequence of a bias in the training set, frequently caused by the co-occurrence of relevant features and irrelevant ones. To mitigate this issue, we require learning algorithms that prevent the propagation of known bias from the dataset into the classifier. We

LINE

Xiyao Fu,Yi Bin,Zheng Wang,Qin Wei,Si Chenit highly class-imbalanced distributions, yielding two main challenges: relative imbalance amongst the classes and data scarcity for mediumshot or fewshot classes. In this work, we address the problem of long-tailed recognition wherein the training set is highly imbalanced and the test set is kept b

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