Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
Wei ZhangJinglei LvXiang LiDajiang ZhuXi JiangShu ZhangYu ZhaoLei GuoJieping YeDewen HuTianming LiuPublished in: IEEE Trans. Biomed. Eng. (2019)
Keyphrases
- dictionary learning
- independent component analysis
- sparse representation
- sparse coding
- signal processing
- independent components
- eeg data
- blind source separation
- principal component analysis
- mixing matrix
- factor analysis
- image classification
- human brain
- computer vision
- source separation
- unsupervised learning
- dimensionality reduction
- object recognition
- bayesian networks
- machine learning