Open AccessUnsupervised Adaptation for High-Dimensional with Limited-Sample Data Classification Using Variational Autoencoder
Author(s) -
Mohammad Sultan Mahmud,
Joshua Zhexue Huang,
Xianghua Fu,
Rukhsana Ruby,
Kaishun Wu
Publication year - 2021
Publication title -
computing and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 28
eISSN - 2585-8807
pISSN - 1335-9150
DOI - 10.31577/cai_2021_1_1
Subject(s) - autoencoder , overfitting , dimensionality reduction , sample size determination , cluster analysis , artificial intelligence , pattern recognition (psychology) , curse of dimensionality , computer science , sample (material) , clustering high dimensional data , dimension (graph theory) , data mining , machine learning , mathematics , deep learning , artificial neural network , statistics , chemistry , chromatography , pure mathematics