Feature Expression Detection for public User Satisfaction Measurement Analysis
Contento is using SURF feaures with the bag of visual words method to model features and MLP (Multilayer Perceptron) as a classifier. The Bag of Visual words use the Kmeans with 256 centroids.
This project is developed to be part of our participation in IMDC 2017 (Innovate Malaysia Design Competition 2017). For the Fusionex and SimDarby track.
Copyright (c) 2017 Fares Hasan
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