articleTop 1% cited
Auto-encoder based dimensionality reduction
Neurocomputing · 2015 · Vol. 184 · pp. 232–242
Yasi Wang(Harbin Institute of Technology)Hongxun Yao✉(Harbin Institute of Technology)Sicheng Zhao(Harbin Institute of Technology)
Neural Networks and ApplicationsGenerative Adversarial Networks and Image SynthesisFace and Expression RecognitionDimensionality reductionComputer scienceEncoderReduction (mathematics)AutoencoderArtificial intelligenceCurse of dimensionalityPattern recognition (psychology)AlgorithmMathematics
Funding
- National Natural Science Foundation of China
Citations
964
FWCI
20.10
field-weighted impact
References
36
Percentile
99%
vs. same field & year
Citations per year
Cited by
Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
Remote Sensing · 2020 · 1,103 citations
The Application of Deep Learning in Cancer Prognosis Prediction
Cancers · 2020 · 379 citations
A Survey on Deep Learning for Multimodal Data Fusion
Neural Computation · 2020 · 720 citations
A comprehensive survey on design and application of autoencoder in deep learning
Applied Soft Computing · 2023 · 497 citations
References
Reducing the Dimensionality of Data with Neural Networks
Science · 2006 · 20,627 citations
Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
Nonlinear principal component analysis using autoassociative neural networks
AIChE Journal · 1991 · 3,014 citations
A Fast Learning Algorithm for Deep Belief Nets
Neural Computation · 2006 · 16,253 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Learning capability and storage capacity of two-hidden-layer feedforward networks
IEEE Transactions on Neural Networks · 2003 · 818 citations
Support-vector networks
Machine Learning · 1995 · 39,987 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
