canonical correlation analysis
National Institutes of Health
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
In this paper, we study canonical correlation analysis (CCA), which has become a powerful tool in multivariate data analysis for…
Dimensionality Reduction is usually achieved on the feature space by adopting any one of the prescribed methods that fall under…
A new fast and accurate tissue typing technique has recently been successfully applied to prostate MR spectroscopic imaging (MRSI…
Plant-soil relationship of saline coastal plain of north China was studied. Principle component analysis (PCA) and cluster…
The contrast‐to‐noise ratio (CNR) is often very low in fMRI data, and standard univariate methods suffer from a loss of…
Detection of activation in functional MRI (fMRI) is often complicated by the low contrast‐to‐noise ratio (CNR) in the data. The…
This article addresses the impact that colored noise, temporal filtering, and temporal detrending have on the fMRI analysis…