We introduce a novel method of principal component analysis for data with varying domain lengths for each functional observation. We refer to this technique as variable-domain functional principal ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 59, No. 1 (Jan., 2010), pp. 57-76 (20 pages) Medical imaging data are often valuable in evaluating disease and therapeutic ...

Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...