Titlebook: Discriminative Learning in Biometrics; David Zhang,Yong Xu,Wangmeng Zuo Book 2016 Springer Science+Business Media Singapore 2016 Biometric

RODE

Metric Learning with Biometric Applicationsesent two novel metric learning methods based on a support vector machine (SVM). We then present a kernel classification framework for metric learning that can be implemented efficiently by using the standard SVM solvers. Some novel kernel metric learning methods, such as the double-SVM and the triplet-SVM, are also introduced in this chapter.

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改正

https://doi.org/10.1007/978-981-10-2056-8Biometrics; Discriminative learning; Palmprint authentication; Face recognition; Multi-biometrics; Patter

遭遇

978-981-10-9515-3Springer Science+Business Media Singapore 2016

交響樂

https://doi.org/10.1007/978-981-97-3629-4irst give an overview on the systems in terms of the input features and common applications. After that, we will provide a self-contained introduction to some discriminative learning tools that are commonly used in biometrics. A clear understanding of these techniques could be of essential importanc

延期

https://doi.org/10.1007/978-981-19-4859-6esent two novel metric learning methods based on a support vector machine (SVM). We then present a kernel classification framework for metric learning that can be implemented efficiently by using the standard SVM solvers. Some novel kernel metric learning methods, such as the double-SVM and the trip

巧辦法

前面

Eructation

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