蜈蚣
发表于 2025-3-25 05:44:38
Discriminative Learning in Biometricsirst 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
表示向下
发表于 2025-3-25 11:26:06
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 trip
拉开这车床
发表于 2025-3-25 13:44:54
Sparse Representation-Based Classification for Biometric Recognitionthod has received much attention in recent years and is widely applied in many fields, such as image denoising, debluring, restoration, super-resolution, segmentation, classification, and visual tracking. In this chapter, we first summarize some frameworks of sparse representation, and then we give
诱使
发表于 2025-3-25 16:13:58
Discriminative Features for Palmprint Authentications, which extract the coding features of palmprint images, are among the most promising palmprint authentication methods. In this chapter, we first give a brief review of palmprint authentication methods in Sect. .. Section . describes the conventional coding-based palmprint identification methods. I
Lipoprotein(A)
发表于 2025-3-25 23:59:58
Orientation Features and Distance Measure of Palmprint AuthenticationFor the orientation code-based methods, the orientation extraction and distance measure are two essential issues for palmprint verification. In this chapter, some efficient orientation extraction methods and a novel distance measure method are presented. The chapter is organized as follows. We first
溺爱
发表于 2025-3-26 03:07:37
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Devastate
发表于 2025-3-26 04:41:11
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photopsia
发表于 2025-3-26 11:39:56
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悬挂
发表于 2025-3-26 13:20:01
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庄严
发表于 2025-3-26 17:07:29
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