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Parameter Estimation in Gaussian Mixture Models with Malicious Noise,
  without Balanced Mixing Coefficients

Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients

21 November 2017
Jing Xu
Jakub Mareˇcek
ArXiv (abs)PDFHTML

Papers citing "Parameter Estimation in Gaussian Mixture Models with Malicious Noise, without Balanced Mixing Coefficients"

3 / 3 papers shown
Large-Sample Properties of Blind Estimation of the Linear Discriminant
  Using Projection Pursuit
Large-Sample Properties of Blind Estimation of the Linear Discriminant Using Projection PursuitElectronic Journal of Statistics (EJS), 2021
Una Radojicic
K. Nordhausen
Joni Virta
130
7
0
08 Mar 2021
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised
  Anomaly Detection
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly DetectionIEEE International Symposium on Multimedia (ISM), 2019
A. Akhriev
Jakub Mareˇcek
UQCV
177
4
0
09 Dec 2019
Quantum Expectation-Maximization for Gaussian Mixture Models
Quantum Expectation-Maximization for Gaussian Mixture ModelsInternational Conference on Machine Learning (ICML), 2019
Iordanis Kerenidis
J. F. Doriguello
A. Prakash
158
28
0
19 Aug 2019
1