Improving Efficiency in Facial Recognition Tasks Through a Dataset Optimization Approach

Improving Efficiency in Facial Recognition Tasks Through a Dataset Optimization Approach

It is well known that the performance of Machine Learning techniques, notably when applied to Computer Vision (CV), depends heavily on the amount and quality of the training data set. However, large data sets lead to time-consuming training loops and, in many situations, are difficult or even imposs...

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Hlavní autoři: Luis Vilca, Paula Viana, Pedro Carvalho, Maria Teresa Andrade
Médium: Článek
Jazyk:English
Vydáno: IEEE 2024-01-01
Edice:IEEE Access
Témata:
Datasets
feature engineering
deep learning
data reduction
facial recognition
On-line přístup:https://ieeexplore.ieee.org/document/10452341/

Internet

https://ieeexplore.ieee.org/document/10452341/

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