Journal of Medical Internet Research

Tensorial Principal Component Analysis in Detecting Temporal Trajectories of Purchase Patterns in Loyalty Card Data: Retrospective Cohort Study

Objective: This study aimed to use the modern tensorial principal component analysis (PCA) method to uncover the characteristics of health-related purchase patterns from loyalty card data. Another aim ...
IEEE

Principal Component Analysis in Image Classification: A review

Abstract: Principal component analysis (PCA) is considered as an important technique for dimension reduction of the data in various artificial intelligence/machine learning applications. One of the ...
IEEE

Tensor Robust Principal Component Analysis Based on Tensor Factorization and Total Variation

Abstract: Classical Tensor Robust Principal Component Analysis (TRPCA) usually adopts the Tensor Nuclear Norm (TNN) to characterize the low-rank property of tensors, which is applied to robust ...
The Lancet

Comparative efficacy and acceptability of pharmacological, psychological, and neurostimulatory interventions for ADHD in adults: a systematic review and component network meta ...

iDepartment of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK jClinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, ...