ECG biometric authentication based on non-fiducial approach using kernel methods
Identity recognition faces several challenges especially in extracting an individual's unique
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
Comparison of random subspace and voting ensemble machine learning methods for face recognition
Biometry based authentication and recognition have attracted greater attention due to
numerous applications for security-conscious societies, since biometrics brings accurate …
numerous applications for security-conscious societies, since biometrics brings accurate …
Comparison of bagging and boosting ensemble machine learning methods for face recognition
Since biometric features are unique to each person and deliver precise identification, they
are preferred for applications where security is very important recently. Recognition and …
are preferred for applications where security is very important recently. Recognition and …
How scientists are brought back into science—the error of empiricism
M Boon - A Critical Reflection on Automated Science: Will …, 2020 - Springer
This chapter aims to contribute to critically investigate whether human-made scientific
knowledge and the scientist's role in developing it, will remain crucial—or can data-models …
knowledge and the scientist's role in developing it, will remain crucial—or can data-models …
[PDF][PDF] NON-FIDUCIAL BASED ELECTROCARDIOGRAM BIOMETRICS WITH KERNEL METHODS
M HEJAZI - 2017 - psasir.upm.edu.my
Automatic and reliable personal identity recognition is becoming considerably important in
many aspects of daily life including financial transactions, traveling and healthcare …
many aspects of daily life including financial transactions, traveling and healthcare …