# TrIK-SVM : an alternative decomposition for kernel methods in Krein spaces

arXiv: https://arxiv.org/abs/1902.10569 · HTML: https://mlsanity.com/paper/1902.10569/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Feb 2019.

## Built on by (most cited first, 1 of 1)

- [Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective](https://mlsanity.com/paper/2112.09893/) (2021)

## Abstract (arXiv)

The proposed work aims at proposing a alternative kernel decomposition in the context of kernel machines with indefinite kernels. The original paper of KSVM (SVM in Krevin spaces) uses the eigen-decomposition, our proposition avoids this decompostion. We explain how it can help in designing an algorithm that won't require to compute the full kernel matrix. Finally we illustrate the good behavior of the proposed method compared to KSVM.