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Self-paced mixture of t distribution model

Abstract: 

Gaussian mixture model (GMM) is a powerful probabilistic model for representing the probability distribution of observations in the population. However, the fitness of Gaussian mixture model can be significantly degraded when the data contain a certain amount of outliers. Although there are certain variants of GMM (e.g., mixture of Laplace, mixture of t distribution) attempting to handle outliers, none of them can sufficiently mitigate the effect of outliers if the outliers are far from the centroids. Aiming to remove the effect of outliers further, this paper introduces a Self-Paced Learning mechanism into mixture of t distribution, which leads to Self-Paced Mixture of t distribution model (SPTMM). We derive an Expectation-Maximization based algorithm to train SPTMM and show SPTMM is able to screen the outliers. To demonstrate the effectiveness of SPTMM, we apply the model to density estimation and clustering. Finally, the results indicate that SPTMM outperforms other methods, especially on the data with outliers.

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Paper Details

Authors:
Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia
Submitted On:
27 May 2018 - 10:23pm
Short Link:
Type:
Poster
Event:
Paper Code:
18001
Document Year:
2018
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[1] Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia, "Self-paced mixture of t distribution model", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3210. Accessed: Aug. 21, 2018.
@article{3210-18,
url = {http://sigport.org/3210},
author = {Qingtao Tang; Li Niu; Tao Dai; Xi Xiao; Shu-Tao Xia },
publisher = {IEEE SigPort},
title = {Self-paced mixture of t distribution model},
year = {2018} }
TY - EJOUR
T1 - Self-paced mixture of t distribution model
AU - Qingtao Tang; Li Niu; Tao Dai; Xi Xiao; Shu-Tao Xia
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3210
ER -
Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia. (2018). Self-paced mixture of t distribution model. IEEE SigPort. http://sigport.org/3210
Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia, 2018. Self-paced mixture of t distribution model. Available at: http://sigport.org/3210.
Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia. (2018). "Self-paced mixture of t distribution model." Web.
1. Qingtao Tang, Li Niu, Tao Dai, Xi Xiao, Shu-Tao Xia. Self-paced mixture of t distribution model [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3210