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Scalable and Interpretable One-class SVMs with Deep Learning and Random
  Fourier features

Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features

13 April 2018
Minh-Nghia Nguyen
Ngo Anh Vien
ArXivPDFHTML

Papers citing "Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier features"

2 / 2 papers shown
Title
Explaining Anomalies using Denoising Autoencoders for Financial Tabular
  Data
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
Timur Sattarov
Dayananda Herurkar
Jörn Hees
30
8
0
21 Sep 2022
Robust Variational Autoencoders for Outlier Detection and Repair of
  Mixed-Type Data
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
Simao Eduardo
A. Nazábal
Christopher K. I. Williams
Charles Sutton
DRL
19
32
0
15 Jul 2019
1