Titlebook: Biometric Recognition; 14th Chinese Confere Zhenan Sun,Ran He,Zhenhua Guo Conference proceedings 2019 Springer Nature Switzerland AG 2019 a

附录

衰老

Weakly Supervised Learning of Image Emotion Analysis Based on Cross-spatial Poolingd to understand the emotions that images convey. Most existing studies of emotion analysis have focused only on image emotion classification, and few studies have paid attention to relevant regions evoking emotions. In this paper, we solve the issues of image emotion classification and emotional reg

过于光泽

空气传播

On the Generalization of GAN Image Forensics community keeps on developing methods to detect these generated fake images and try to ensure the credibility of visual contents. Although researchers have developed some methods to detect generated images, few of them explore the important problem of generalization ability of forensics model. As n

nautical

A Novel Method for Finger Vein Recognitioneceives 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

Tartar

Structure Feature Learning: Constructing Functional Connectivity Network for Alzheimer’s Disease Ide 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.

GROUP

Commonwealth

mucous-membrane

Biometric Recognition978-3-030-31456-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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