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We then trained a linear pattern classifier to classify facial expression or gender on the basis of V1 data from 'eye' and 'mouth' regions, and from the remaining non-diagnostic V1 region.
A script independent unified pattern classifier is then designed to classify the numeric postal codes into one of these 25 clusters.
Next, the acoustic features are recognized through a pattern classifier.
The results demonstrate that our pattern classifier based on color texture features agrees with dermatologists' perception.
To overcome these deficiencies, this article proposes a pattern classifier technique titled support vector machines.
A new multivariate density estimator suitable for pattern classifier design is proposed.
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The brainstorming consensus between efficiently designed MLP pattern classifiers and diverse physico-chemical representations is capable of classifying highly complex and nonlinear biological sequence motifs, where non-trivial and weak correlations between amino acid positions and types are important.
Artificial neural networks are powerful pattern classifiers.
Neural networks have come to the fore as potent pattern classifiers.
The results are discussed, along with the implications to the better design of ANN pattern classifiers in chemical sensor applications.
Artificial neural networks (ANN) are used to serve two important functions as pattern classifiers and as nonlinear adaptive filters.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com