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Jun 21, 2024 · Our research study provides a deep facial recognition model for masked faces combining feature extraction with deep learning using convolution neural network ( ...
Jun 23, 2024 · This study expands the use of deep learning for facial emotion recognition (FER) based on Emognition dataset that includes ten target emotions: amusement, awe, ...
Jun 25, 2024 · Biometric face presentation attack detection with multi-channel convolutional neural network. ... Face anti-spoofing via deep local binary pattern. In Deep ...
Jul 9, 2024 · If we realize an ESN-based pattern detection algorithm, we can construct a pattern detection with overwhelmingly less computational resources compared to the ...
Jul 5, 2024 · [28] proposed a novel deep learning model—the Dynamic Multi-Scale Convolutional Neural Network. This model employs a variable-length filter generator to ...
Jul 6, 2024 · ... local binary pattern (DLBP) feature. Previous research [9] shows that the CNN-based classification model cannot converge with pure skin color patches to ...
Missing: ensemble | Show results with:ensemble
Jun 18, 2024 · This study proposes a novel deep convolutional neural network (DCNN) approach to classifying skin cancer lesions. The proposed DCNN model is evaluated using two ...
Missing: ensemble | Show results with:ensemble
5 days ago · Binary classification experiments. The classification results of this paper on the CICIDS2017 dataset using classical machine learning models such as CNN and ...
Jul 2, 2024 · A common approach to make machine learning inference more efficient is to use example-specific adaptive schemes, which route or select models for each ...
Jun 22, 2024 · The human emotion recognition based on facial expression has a significant meaning in the application of intelligent man–machine interaction.