mlsanityData to 7 Oct 2026

Generalized Reference Kernel for One-class Classification

arXiv 2205.00534 ↗First posted 1 May 2022cs.LGcited by 2

Not on the map. Why?

Abstract (arXiv)

In this paper, we formulate a new generalized reference kernel hoping to improve the original base kernel using a set of reference vectors. Depending on the selected reference vectors, our formulation shows similarities to approximate kernels, random mappings, and Non-linear Projection Trick. Focusing on small-scale one-class classification, our analysis and experimental results show that the new formulation provides approaches to regularize, adjust the rank, and incorporate additional information into the kernel itself, leading to improved one-class classification accuracy.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 14 of its 56 references that are in the map. First posted on arXiv 1 May 2022.

Builds on

14 of 56 references.

References · 14

  1. 2020Learning and Evaluating Representations for Deep One-class Classificationcited by 133
  2. 2013Revisiting the Nystrom Method for Improved Large-Scale Machine Learningcited by 76
  3. 2018Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guaranteescited by 71
  4. 2020A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descentcited by 69
  5. 2016Faster Kernel Ridge Regression Using Sketching and Preconditioningcited by 43
  6. 2020Convolutional Kernel Networks for Graph-Structured Datacited by 38
  7. 2016End-to-End Kernel Learning with Supervised Convolutional Kernel Networkscited by 28
  8. 2021Hybrid Random Featurescited by 25
  9. 2020Simple and Effective Prevention of Mode Collapse in Deep One-Class Classificationcited by 16
  10. 2019Multimodal Subspace Support Vector Data Descriptioncited by 15
  11. 2020Boosting rare benthic macroinvertebrates taxa identification with one-class classificationcited by 11
  12. 2018Localized Multiple Kernel Learning for Anomaly Detection: One-class Classificationcited by 5
2 more
  1. 2019Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)cited by 1
  2. 2019Null Space Analysis for Class-Specific Discriminant Learningcited by 1

Built on by

Cited by year

Citing papers per year: 2024: 1; 2025: 1.

2 papers.

  1. 2024Linear-time One-Class Classification with Repeated Element-wise Foldingcited by 0
  2. 2025Generalized Reference Kernel With Negative Samples For Support Vector One-class Classificationcited by 0