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 ...

Learn how to apply support vector machines (SVM) for medical image processing and diagnosis, and what are the benefits and drawbacks of this approach.

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 ...

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 ...

Model signals of guided wave contains considerable defect information. Model classification is a critical process for online monitoring. Visibility graph (VG) is proposed to transform the model signal ...