Linear support vector machines with normalizations

Yiyong Feng; Daniel Pérez Palomar

ICASSP 2015accepted0 citations

Linear support vector machines with normalizations

Abstract

In this paper, we start with the standard support vector machine (SVM) formulation and extend it by proposing a general SVM that allows many different variations captured by normalizations in the formulation with very diverse numerical performance. The proposed formulation can not only capture the existing work, i.e., standard soft-margin SVM, ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -SVM, as special cases, but also enable us to propose more SVMs that outperform the existing ones under some scenarios.

BibTeX

@inproceedings{icassp2015_linearsupportvec,
  title = {Linear support vector machines with normalizations},
  author = {Yiyong Feng and Daniel Pérez Palomar},
  booktitle = {ICASSP 2015},
  year = {2015}
}