使饥饿
发表于 2025-3-26 21:46:56
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取消
发表于 2025-3-27 04:12:57
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foodstuff
发表于 2025-3-27 08:39:27
Latent Fingerprint Image Segmentation Using Deep Neural Networkd on RBMs learns fingerprint image patches in two phases. The first phase (unsupervised pre-training) involves learning an identity mapping of the input image patches. In the second phase, fine-tuning and gradient updates are performed to minimize the cost function on the training dataset. The resul
NEXUS
发表于 2025-3-27 13:13:47
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膝盖
发表于 2025-3-27 15:55:39
Iris Segmentation Using Fully Convolutional Encoder–Decoder Networksd networks, we apply a selection of conventional (non-CNN) iris segmentation algorithms on the same datasets, and similarly evaluate their performances. The results then get compared against those obtained from the FCEDNs. Based on the results, the proposed networks achieve superior performance over
Gudgeon
发表于 2025-3-27 20:02:54
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规范就好
发表于 2025-3-28 00:51:27
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overwrought
发表于 2025-3-28 04:48:49
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有权
发表于 2025-3-28 08:53:10
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inveigh
发表于 2025-3-28 11:15:50
Deep Triplet Embedding Representations for Liveness Detectionfingerprints are dissimilar from the ones generated artificially. A variant of the triplet objective function is employed, that considers patches taken from two real fingerprint and a replica (or two replicas and a real fingerprint), and gives a high penalty if the distance between the matching coup