<p>Confusion matrix of the proposed FER system that is trained on USTC-NVIE dataset and tested on CK+, JAFFE, MUG, IMFDB, and AFEW datasets of facial expressions (Unit: %).</p
Confusion matrix for the MRF trained on all elicited samples and tested on all official Japanese Pok...
<p>The data presented in each column is the probability of the participants' judgments. The recognit...
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...
<p>Confusion matrix of the proposed FER system that is trained on IMFDB dataset and tested on CK+, J...
<p>Confusion matrix of the proposed FER system with HMM (as a recognition model), instead of using t...
<p>Confusion matrix of the proposed FER system with HMM (as a recognition model), instead of using t...
<p>Confusion matrix of the proposed FER system with HMM (as a recognition model), instead of using t...
Confusion matrix using exclusively task fMRI data for the selection of the best classification model...
<p>Recognition rate of the proposed FER system using USTC-NVIE dataset of facial expressions (Unit: ...
<p>Recognition rate of the proposed FER system using JAFFE dataset of facial expressions (Unit: %).<...
Confusion matrix for the best classification model, which corresponded to a neural network with four...
<p>Recognition rate of the proposed FER system using IMFDB dataset of facial expressions (Unit: %).<...
<p>It can be seen that the system clearly classified the expressions classes.</p
<p>Confusion matrix for CF-patients, classified according to their FEV 1 class.</p
<p>Recognition rate of the proposed FER system using MUG dataset of facial expressions (Unit: %).</p
Confusion matrix for the MRF trained on all elicited samples and tested on all official Japanese Pok...
<p>The data presented in each column is the probability of the participants' judgments. The recognit...
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...
<p>Confusion matrix of the proposed FER system that is trained on IMFDB dataset and tested on CK+, J...
<p>Confusion matrix of the proposed FER system with HMM (as a recognition model), instead of using t...
<p>Confusion matrix of the proposed FER system with HMM (as a recognition model), instead of using t...
<p>Confusion matrix of the proposed FER system with HMM (as a recognition model), instead of using t...
Confusion matrix using exclusively task fMRI data for the selection of the best classification model...
<p>Recognition rate of the proposed FER system using USTC-NVIE dataset of facial expressions (Unit: ...
<p>Recognition rate of the proposed FER system using JAFFE dataset of facial expressions (Unit: %).<...
Confusion matrix for the best classification model, which corresponded to a neural network with four...
<p>Recognition rate of the proposed FER system using IMFDB dataset of facial expressions (Unit: %).<...
<p>It can be seen that the system clearly classified the expressions classes.</p
<p>Confusion matrix for CF-patients, classified according to their FEV 1 class.</p
<p>Recognition rate of the proposed FER system using MUG dataset of facial expressions (Unit: %).</p
Confusion matrix for the MRF trained on all elicited samples and tested on all official Japanese Pok...
<p>The data presented in each column is the probability of the participants' judgments. The recognit...
A 14 × 14 confusion matrix: Model fittness based on the MLR-HomoNet method for the training data .</...