GitHub

tupendra/mixed-kernel-svm

A custom kernel with a linear superposition of Sigmoid and Gaussian kernels named mixed-kernel is created. A SVM model with this mixed-kernel is developed and analyzed for filtering low-pT samples in ...
GitHub

A complete SVM implementation from scratch using NumPy and CVXOPT. Supports linear, polynomial, and Gaussian kernels with hard/soft margin classification.

There was an error while loading. Please reload this page. # svm-engineered-from-scratch This project contains a simple and complete implementation of the Support ...
IEEE

Large-scale Learning with SVM and Convolutional for Generic Object Categorization

Abstract: The detection and recognition of generic object categories with invariance to viewpoint, illumination, and clutter requires the combination of a feature extractor and a classifier. We show ...
IEEE

A comparative study on Daubechies Wavelet Transformation, Kernel PCA and PCA as feature extractors for arrhythmia detection using SVM

Abstract: The electrocardiogram (ECG) plays an important role in monitoring and preventing heart attacks. In this paper, we propose and compare the use of Daubechies WT (Daubechies Wavelet ...