Accurate, Very Low Computational Complexity Spike Sorting Using Unsupervised Matched Subspace Learning.
Majid ZamaniJure SokolicDai JiangFrancesco RennaMiguel R. D. RodriguesAndreas DemosthenousPublished in: IEEE Trans. Biomed. Circuits Syst. (2020)
Keyphrases
- subspace learning
- semi supervised
- dimensionality reduction
- data representation
- manifold learning
- unsupervised learning
- maximum margin criterion
- learning algorithm
- principal component analysis
- low dimensional
- sparse representation
- sparse coding
- active learning
- face recognition
- subspace learning algorithm
- feature selection
- input image
- small number
- higher order
- learning process
- high dimensional data
- feature space
- data analysis
- fisher criterion