Learn how to deal with class imbalance and noise in SVM for image classification. Discover how to use weighted or robust SVM, resample or preprocess your data, evaluate and optimize your model ...

This project classifies images of top entrepreneurs using OpenCV and an SVM model, displaying their business history, achievements, and a 5-year regression graph, deployed with Flask. - maitreepate ...

SVM can be a useful tool for medical image processing and diagnosis, however it has some limitations. It can be sensitive to the choice of hyperparameters and kernel functions, and be affected by ...

A watermarking scheme based on SVM is implemented and analyzed for two different forms of copyright information, a 34 × 45 binary image and a sound signal for utterance of a word. In this work, the ...

Within the realm of medical science, imaging stands out as the most potent diagnostic and therapeutic tool. Convolutional Neural Networks (CNN) have revolutionized this field due to their ability to ...