Predicted Distribution Density Estimation for Streaming Data

2021 ◽  
pp. 567-580
Author(s):  
Piotr Kulczycki ◽  
Tomasz Rybotycki
Keyword(s):  
Density Estimation ◽  
Distribution Density ◽  
Streaming Data

Online wavelet-based density estimation for non-stationary streaming data

2012 ◽  
Vol 56 (2) ◽  
pp. 327-344 ◽  
Author(s):  
E.S. García-Treviño ◽  
J.A. Barria
Keyword(s):  
Density Estimation ◽  
Streaming Data

Online Density Estimation over Streaming Data: A Local Adaptive Solution

2018 ◽  
Author(s):  
Zhong Chen ◽  
Zhide Fang ◽  
Jiabin Zhao ◽  
Wei Fan ◽  
Andrea Edwards ◽  
...  
Keyword(s):  
Density Estimation ◽  
Streaming Data ◽  
Adaptive Solution

scholarly journals Unsupervised Phonocardiogram Analysis With Distribution Density Based Variational Auto-Encoders

2021 ◽  
Vol 8 ◽  
Author(s):  
Shengchen Li ◽  
Ke Tian
Keyword(s):  
Density Estimation ◽  
System Performance ◽  
Distribution Density ◽  
State Of The Art ◽  
Gaussian Model ◽  
The State ◽  
Single Domain ◽  
Latent Space ◽  
Multiple Domains ◽  
Pcg Signals

This paper proposes an unsupervised way for Phonocardiogram (PCG) analysis, which uses a revised auto encoder based on distribution density estimation in the latent space. Auto encoders especially Variational Auto-Encoders (VAEs) and its variant β−VAE are considered as one of the state-of-the-art methodologies for PCG analysis. VAE based models for PCG analysis assume that normal PCG signals can be represented by latent vectors that obey a normal Gaussian Model, which may not be necessary true in PCG analysis. This paper proposes two methods DBVAE and DBAE that are based on estimating the density of latent vectors in latent space to improve the performance of VAE based PCG analysis systems. Examining the system performance with PCG data from the a single domain and multiple domains, the proposed systems outperform the VAE based methods. The representation of normal PCG signals in the latent space is also investigated by calculating the kurtosis and skewness where DBAE introduces normal PCG representation following Gaussian-like models but DBVAE does not introduce normal PCG representation following Gaussian-like models.

Adaptive robust local online density estimation for streaming data

2021 ◽  
Author(s):  
Zhong Chen ◽  
Zhide Fang ◽  
Victor Sheng ◽  
Jiabin Zhao ◽  
Wei Fan ◽  
...  
Keyword(s):  
Density Estimation ◽  
Streaming Data
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