Pages that link to "Q51610867"

The following pages link to A "nonnegative PCA" algorithm for independent component analysis (Q51610867):

Displaying 14 items.

• A novel blind separation method in magnetic resonance images (Q28657797) (← links)
• Probabilistic latent variable models as nonnegative factorizations (Q30494352) (← links)
• Nonnegative matrix factorization: an analytical and interpretive tool in computational biology (Q33354938) (← links)
• A constrained independent component analysis technique for artery–vein separation of two-photon laser scanning microscopy images of the cerebral microvasculature (Q34027089) (← links)
• EEG source imaging with spatio-temporal tomographic nonnegative independent component analysis. (Q34606701) (← links)
• Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding (Q35869531) (← links)
• Blind Nonnegative Source Separation Using Biological Neural Networks. (Q38640780) (← links)
• Application of t-SNE to human genetic data (Q38674308) (← links)
• A cooperative recurrent neural network for solving L(1) estimation problems with general linear constraints. (Q43826420) (← links)
• Blind separation of positive sources by globally convergent gradient search (Q44986806) (← links)
• Quantifying Biological Samples using Linear Poisson Independent Component Analysis for MALDI-ToF Mass Spectra (Q47310114) (← links)
• Minimum-Volume-Constrained Nonnegative Matrix Factorization: Enhanced Ability of Learning Parts (Q51536016) (← links)
• Nonnegative Principal Component Analysis for Cancer Molecular Pattern Discovery (Q51675139) (← links)
• Least-dependent-component analysis based on mutual information. (Q53799305) (← links)