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Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization
Inf Process Med Imaging. 2023;13939:497-508. doi: 10.1007/978-3-031-34048-2_38. Epub 2023 Jun 8.ABSTRACTThe increasing availability of large-scale neuroimaging initiatives opens exciting opportunities for discovery science of human brain structure and function. Data-driven techniques, such as Orthonormal Projective Non-negative Matrix Factorization (opNMF), are well positioned to explore multivariate relationships in big data towards uncovering brain organization. opNMF enjoys advantageous interpretability and reproducibility compared to commonly used matrix factorization methods like Principal Component Analysis (PCA) and...
Source: Inf Process Med Imaging - November 16, 2023 Category: Radiology Authors: Abdalla Bani Sung Min Ha Pan Xiao Thomas Earnest John Lee Aristeidis Sotiras Source Type: research