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Abstract: This paper proposes a novel method for constructing SVM ensembles for achieving improved image classification performance. The use of an SVM ensemble, instead of a single classifier, ...

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This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...

Abstract: Support Vector Machine (SVM), a robust machine learning algorithm, exhibits exceptional efficacy in addressing image multi-classification challenges. This paper aims to discuss the image ...