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Combining Flat and Structured Representations for Fingerprint Classification With Recursive Neural Networks and Support Vector Machines

机译：利用递归神经网络和支持向量机将指纹分类的平面和结构化表示相结合

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作者
Yuan Yao; Gian Luca Marcialis; Massimiliano Pontil; Gian Luca; Marcialis Massimiliano Pontil; Paolo Frasconi; Fabio Roli;
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年度 2003
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1. Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines [J] . Yao Y., Marcialis GL., Pontil M., Pattern Recognition: The Journal of the Pattern Recognition Society . 2003,第2期

机译：结合用于递归神经网络和支持向量机的指纹分类的平面和结构化表示
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5. Brainprint: Identifying unique features of neural activity using cross-correlation, support vector machines and neural networks to evaluate its use as an authentication method. [D] . Ruiz Blondet, Maria Virginia. 2014

机译：大脑印记：使用互相关，支持向量机和神经网络来识别神经活动的独特特征，以评估其作为身份验证方法的用途。
6. EEG signal analysis using classification techniques: Logistic regression artificial neural networks support vector machines and convolutional neural networks [O] . Maria Camila Guerrero, Juan Sebastián Parada, Helbert Eduardo Espitia 2021

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7. FINGERPRINT CLASSIFICATION BASED ON RECURSIVE NEURAL NETWORK WITH SUPPORT VECTOR MACHINE [O] . T. Chakravarthy, K. Meena, D. Nathiya 2011

机译：基于支持向量机的递归神经网络的指纹分类

Combining Flat and Structured Representations for Fingerprint Classification With Recursive Neural Networks and Support Vector Machines

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