Face recognition from single sample per person by learning of generic discriminant vectors
F Hafiz, AA Shafie, YM Mustafah - Procedia Engineering, 2012 - Elsevier
The conventional ways of recognizing faces always assume the possession and heavily
relies on extensive and representative datasets, but that is not the case in most real-world …
relies on extensive and representative datasets, but that is not the case in most real-world …
[PDF][PDF] Face Recognition From Single Sample Per Person by Learning of Generic Discriminant Vectors
F Hafiza, AA Shafieb, YM Mustafahb - Procedia Engineering, 2012 - cyberleninka.org
The conventional ways of recognizing faces always assume the possession and heavily
relies on extensive and representative datasets, but that is not the case in most real-world …
relies on extensive and representative datasets, but that is not the case in most real-world …
Face Recognition From Single Sample Per Person by Learning of Generic Discriminant Vectors
F Hafiz, AA Shafie, YM Mustafah - Procedia Engineering, 2012 - infona.pl
The conventional ways of recognizing faces always assume the possession and heavily
relies on extensive and representative datasets, but that is not the case in most real-world …
relies on extensive and representative datasets, but that is not the case in most real-world …
[PDF][PDF] Face Recognition From Single Sample Per Person by Learning of Generic Discriminant Vectors
F Hafiza, AA Shafieb, YM Mustafahb - Procedia Engineering, 2012 - researchgate.net
The conventional ways of recognizing faces always assume the possession and heavily
relies on extensive and representative datasets, but that is not the case in most real-world …
relies on extensive and representative datasets, but that is not the case in most real-world …