Apr 27, 2017 · The results show that the proposed method predicts the novel data with improved accuracy of 66.1% and 69.3% compared with support vector machine ...

Apr 12, 2017 · The results show that the proposed method predicts the novel data with improved accuracy of 66.1% and 69.3% compared to SVM which have 64.15% ...

Jul 31, 2017 · This method is based on likelihood ratio test which helps in finding the optimal combination of match scores. The distributions of match scores ...

May 30, 2017 · In this study, a novel algorithm is proposed to decode brain activity associated with different types of images.

Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion ... using convolutional neural network and likelihood ratio based score fusion

Jul 11, 2022 · A score fusion function is changed utilising an enhanced cumulants-driven likelihood ratio test employing multivariate pattern analysis.

In this study, a novel algorithm is proposed to decode brain activity associated with different types of images.

Prediction of Human Brain Activity Using Likelihood Ratio Based Score Fusion ... using convolutional neural network and likelihood ratio based score fusion

LRT has mostly been used in likelihood ratio-based score fusion (LRBSF) which is a mature and widely used technique, especially in biometric systems [52], and ...

Convolutional neural network (CNN) for feature extraction, likelihood ratio based score fusion for prediction. The CNN model is specially designed with one ...