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Dimensionality Reduction Methods for Brain Imaging Data Analysis
ACM Computing Surveys, 2022Dan Chen, Xiaoli Li, Yunbo Tang
exaly
Explaining dimensionality reduction results using Shapley values
Expert Systems With Applications, 2021Danilo Medeiros Eler
exaly
Bridging neuronal correlations and dimensionality reduction
Neuron, 2021Matthew A Smith, Adam Snyder, Byron Yu
exaly
2019
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
openaire +3 more sources
Dimensionality reduction is a hot research topic in data analysis today. Thanks to the advances in high-performance computing technologies and in the engineering eld, we entered in the so-called big-data era and an enormous quantity of data is available in every scientificc area, ranging from social networking, economy and politics to e-health and life
openaire +3 more sources
Overview and comparative study of dimensionality reduction techniques for high dimensional data
Information Fusion, 2020Muhammad Kashif Hanif +2 more
exaly
Applications of Discriminative Dimensionality Reduction
Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, 2013Hammer, Barbara +2 more
openaire +3 more sources
Auto-encoder based dimensionality reduction
Neurocomputing, 2016Sicheng Zhao, Yasi Wang, Hongxun Yao
exaly
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
SIAM Journal of Scientific Computing, 2004Zhenyue Zhang, Hongyuan Zha
exaly

