Mahalanobis Support Vector Machines Made Fast and Robust
Mahalanobis Support Vector Machines Made Fast and Robust
As is known to us, common Euclidean distance based SVMs are easily influenced by outliers in given samples and might subsequently cause big prediction errors in testing processes. Therefore, many scholars propose various preprocessing methods such as whitening or normalizing the data to a sphere shape to remove the outliers …