Thoracic
发表于 2025-3-21 17:49:50
书目名称Biometric Recognition影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0188169<br><br> <br><br>书目名称Biometric Recognition读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0188169<br><br> <br><br>
Substance-Abuse
发表于 2025-3-21 22:24:33
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Encapsulate
发表于 2025-3-22 01:28:16
Non-negative Compatible Kernel Construction for Face Recognitionalled the nonnegative in-compatible problem of KNMF. To tackle this problem, this paper presents a new methodology to construct Nonnegative Compatible Kernel (NC-Kernel) for face recognition. We obtain a Nonnegative Nonlinear Mapping (NN-Mapping) by using the techniques of symmetric NMF and nonnegat
相互影响
发表于 2025-3-22 07:47:45
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browbeat
发表于 2025-3-22 11:57:40
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RECUR
发表于 2025-3-22 14:01:42
Block Statistical Features-based Face Verification on Second Generation Identity Cardttention. This paper proposes a block statistical features(BSF) learning method combining with local Gabor binary pattern(LGBP) for face verification in both second generation identity card(2nd ID card) and video set, which show many differences in biometric caused by age gap and image acquisition c
MANIA
发表于 2025-3-22 20:21:32
Towards Practical Face Recognition: A Local Binary Pattern Non Frontal Faces Filtering Approachecognition accuracy, in order to solve these problems, we propose non frontal faces filter’s method via support vector machine(SVM) and local binary patterns(LBP). By this method the images with large pose deflection will be filtered. Firstly, we apply the AdaBoost algorithm into real-time face dete
露天历史剧
发表于 2025-3-22 23:17:44
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happiness
发表于 2025-3-23 05:16:40
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harrow
发表于 2025-3-23 08:59:35
Nonlinear Metric Learning with Deep Convolutional Neural Network for Face Verifications, one is face representation and the other is the similarity computation of face vectors. Addressing the two problem, this paper proposes a method for simultaneously learning features and a corresponding similarity metric for a real world face verification, which apply novel regularization to learn