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- W2888843832 abstract "As the rapid growth of technology continuously increases the accuracy, effectivity, and efficiency of human's effort, technology also requires some improvements in order to sustain its capabilities. One of the latest technologies today when it comes to biometrics is facial emotion recognition.Facial emotion recognition initially detects the face of a person before it recognizes human's emotion using image processing or video sequence method. The different algorithm was applied to related studies to increase the accuracy on recognizing the emotion. However, the efficiency of the data needed in order to identify the emotion of a person is also a big factor to reduce time on image processing part.This research analyzed three dimension reduction techniques on image processing for facial emotion recognition such as dimension reduction by forward selection, dimension reduction by decision tree, and dimension reduction by principal component analysis. The application of online recognition API and data mining tool on controlled dataset serves as the materials to generate the numerical and logical result which is used in the process of analysis." @default.
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- W2888843832 date "2018-01-01" @default.
- W2888843832 modified "2023-09-24" @default.
- W2888843832 title "Dimension Reduction Techniques Analysis on Image Processing for Facial Emotion Recognition" @default.
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- W2888843832 doi "https://doi.org/10.1145/3232651.3232669" @default.
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