肮脏
发表于 2025-3-23 12:14:16
Ying Tong,Kaikai Li,Jin Chen,Rong Liufication because it often lead the NN to overcompensate for the dominant group. Therefore, in this paper a dynamic threshold learning algorithm (DTLA) is proposed as the substitute for the conventional LSE algorithm. This method uses multiple dynamic threshold parameters to gradually remove some tra
令人悲伤
发表于 2025-3-23 14:33:01
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无力更进
发表于 2025-3-23 19:09:10
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CHASE
发表于 2025-3-24 00:32:00
https://doi.org/10.1007/978-1-4614-5803-6ecognition are extracted from the segmented iris pattern using two-dimensional (2-D) wavelet transform based on Haar wavelet. We present an efficient initialization method of the weight vectors and a new method to determine the winner in LVQ neural network. The proposed methods have more accuracy th
使服水土
发表于 2025-3-24 03:15:58
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Schlemms-Canal
发表于 2025-3-24 09:23:47
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完全
发表于 2025-3-24 13:04:42
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addition
发表于 2025-3-24 18:21:55
Lei Dai,Liwei Zhang,Limin Li,You Chenh facial expression, what are the patterns that distinguish them from one another. We applied widely used pattern recognition technique-principle component analysis to characterize the feature point displacements of each basic human facial expression for each individual in the existing database. For
ACRID
发表于 2025-3-24 21:55:38
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暗讽
发表于 2025-3-25 00:30:20
Yongkui Ma,Shaopeng Zhang,Jiayan Zhangnition task. Given that AAM has been also used in tracking the moving object, we thought it could be effective in recognizing the facial expressions of humans. Our results show that the performance of the facial expression recognition using AAM is reliably high when it combined with an enhanced Fish