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Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

Abstract: This study introduced an algorithm for ECG signal classification that based on sparse representation and Support Vector Machines (SVM). By integrating denoising, sparse representation, and ...

1 College of Information Engineering, Henan University of Science and Technology, Luoyang, China 2 The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and ...

Abstract: SVM is one of the popular methods to solve One-Class classification problem. However, it is time and space-consuming. This fact makes it hard or even impossible to apply SVM for large ...

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

College of Mathematics and Computer Science, Hunan Normal University, Changsha, China Autism spectrum disorder (ASD) is mainly reflected in the communication and language barriers, difficulties in ...