Robust improper maximum likelihood: tuning, computation, and a comparison with other methods for robust Gaussian clustering

2 June 2014

Papers citing "Robust improper maximum likelihood: tuning, computation, and a comparison with other methods for robust Gaussian clustering"

11 / 11 papers shown

Title
TopoFR: A Closer Look at Topology Alignment on Face Recognition Jun Dan Yang Liu Jiankang Deng Haoyu Xie Siyuan Li Baigui Sun Shan Luo CVBM 107 6 0 14 Oct 2024
Adaptively Robust and Sparse K-means Clustering Hao Li S. Sugasawa Shota Katayama 56 1 0 09 Jul 2024
Federated Learning for Short Text Clustering Mengling Hu Chaochao Chen Weiming Liu Xinting Liao Xiaolin Zheng FedML 41 0 0 23 Nov 2023
Choice of trimming proportion and number of clusters in robust clustering based on trimming L. A. García-Escudero Christian Hennig A. Mayo‐Iscar G. Morelli Marco Riani 10 0 0 15 Sep 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression Uddeshya Upadhyay Jae Myung Kim Cordelia Schmidt Bernhard Schölkopf Zeynep Akata BDL UQCV 98 1 0 21 Feb 2023
A robust model-based clustering based on the geometric median and the Median Covariation Matrix Antoine Godichon-Baggioni Stephane S. Robin 67 3 0 15 Nov 2022
Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score Luca Coraggio Pietro Coretto 15 6 0 03 Nov 2021
Robust Model-Based Clustering Juan D. González R. Maronna V. Yohai R. Zamar 10 0 0 13 Feb 2021
Bayesian Distance Clustering L. Duan David B. Dunson 47 18 0 19 Oct 2018
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model Stéphane Lathuilière Pablo Mesejo Xavier Alameda-Pineda Radu Horaud OOD 51 29 0 28 Aug 2018
Parsimonious mixtures of multivariate contaminated normal distributions A. Punzo P. McNicholas 88 112 0 20 May 2013