Complex Diffusion Maps with ω-parameterized complex kernels reveal inherent harmonic representations and improve discrimination over real-valued diffusion methods on synthetic data, fMRI, and EEG.
Mixed neural network approach for temporal sleep stage classification.IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(2):324–333
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Complex Diffusion Maps with $\omega$-Parameterized Kernels Revealing Inherent Harmonic Representations
Complex Diffusion Maps with ω-parameterized complex kernels reveal inherent harmonic representations and improve discrimination over real-valued diffusion methods on synthetic data, fMRI, and EEG.