CRAB 发表于 2025-3-25 04:07:30

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证明无罪 发表于 2025-3-25 07:43:42

978-3-319-37222-8Springer International Publishing Switzerland 2015

该得 发表于 2025-3-25 14:03:21

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向下五度才偏 发表于 2025-3-25 16:26:17

Ronald J. Gibbons,Johannes van Houte during testing and a restricted number of enrollment samples for training. Furthermore, biometric traits can change over time due to aging and change of lifestyle. Effectively, the noise factors encountered in testing cannot be represented by the limited training samples. A promising solution to tr

Neutropenia 发表于 2025-3-25 20:45:33

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Modify 发表于 2025-3-26 00:20:32

Bacterial Cell Walls and Surfacesnd test samples. For co-training-based multimodal biometric systems, classical semi-supervised learning strategies such as self-training                               and co-training may not have fully exploited the advantage of a multimodal fusion, notably due to the fusion module. For this reason, this chapter discusses a

Proclaim 发表于 2025-3-26 07:35:10

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温和女孩 发表于 2025-3-26 09:18:32

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博识 发表于 2025-3-26 16:02:07

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CON 发表于 2025-3-26 17:03:02

https://doi.org/10.1007/978-1-4615-6514-7iometric samples are fused for taking decision on similarity. Proposed score normalization is an threshold alignment and range compression scheme. It utilizes statistical properties of the score distribution. The proposed scheme has been tested over a multimodal database which is constructed using t
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查看完整版本: Titlebook: Adaptive Biometric Systems; Recent Advances and Ajita Rattani,Fabio Roli,Eric Granger Book 2015 Springer International Publishing Switzerl