Image Classification Using Naïve Bayes Classifier
نویسنده
چکیده
An image classification scheme using Naïve Bayes Classifier is proposed in this paper. The proposed Naive Bayes Classifier-based image classifier can be considered as the maximum a posteriori decision rule. The Naïve Bayes Classifier can produce very accurate classification results with a minimum training time when compared to conventional supervised or unsupervised learning algorithms. Comprehensive experiments for pattern classification tasks on an image dataset are performed in order to evaluate the performance of the proposed classifier. The results show that the proposed Naïve Bayes Classifier outperforms conventional classifiers in terms of training speed and classification accuracy. Keywords— Bayes classifier, image classification, DCT feature, neural networks.
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