Abstract
Using a feature extraction technique can assist in the discovery of discriminant features and, in datasets containing sources of intra-subject sample variability, feature extraction techniques may identify the discriminant features not affected by such variability. However, when it is possible to identify these sources of variability, it may also be possible to use normalization to expose the important features that would otherwise be hidden due to differences in the conditions at the time of sample collection.
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Mason, J.E., Traoré, I., Woungang, I. (2016). Normalization. In: Machine Learning Techniques for Gait Biometric Recognition. Springer, Cham. https://doi.org/10.1007/978-3-319-29088-1_5
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DOI: https://doi.org/10.1007/978-3-319-29088-1_5
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