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 ...

Breast cancer is one of the most common types of cancer, as well as the leading cause of mortality among women. Numerous attempts have been made in developing automated systems for identifying ...

cnn_svm_classification This code solves the binary classification problem that classifies images with and without fire. It includes a code that combines cnn and binary classifier, which is used to ...

Image classification using SVM Image classification is a task of categorizing images into pre-defined classes or categories. Support Vector Machine (SVM) is one of the most popular machine learning ...

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

Image classification is one of the classical image processing problems. There are various approaches such as Support Vector Machine, Artificial Neural Networks, Convolutional Neural Networks, ...

Bazi, Y. and Melgani, F. (2006) Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 44, 3374-3385.