Results 271 to 280 of about 1,002,594 (295)

Principal components analysis for functional data

1997
For many reasons, principal components analysis (PCA) of functional data is a key technique to consider. First, our own experience is that, after the preliminary steps of registering and displaying the data, the user wants to explore that data to see the features characterizing typical functions.
J. O. Ramsay, B. W. Silverman
openaire   +1 more source

Multi-way functional principal components analysis

2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013
Many examples of multi-way or tensor-valued data, such as in climate studies, neuroimaging, chemometrics, and hyperspectral imaging, are structured meaning that variables are associated with locations. Tensor decompositions, or higher-order principal components analysis (HOPCA), are a classical method for dimension reduction and pattern recognition for
openaire   +1 more source

Principal component analysis for functional data

2018
This article discusses the methodology and theory of principal component analysis (PCA) for functional data. It first provides an overview of PCA in the context of finite-dimensional data and infinite-dimensional data, focusing on functional linear regression, before considering the applications of PCA for functional data analysis, principally in cases
openaire   +1 more source

Social determinants of health and US cancer screening interventions: A systematic review

Ca-A Cancer Journal for Clinicians, 2023
Ariella R Korn
exaly  

The Affordable Care Act and access to care across the cancer control continuum: A review at 10 years

Ca-A Cancer Journal for Clinicians, 2020
Jingxuan Zhao, Ziling Mao, Stacey A Fedewa   +2 more
exaly  

Clinical characteristics, pathophysiology, and management of noncentral nervous system cancer‐related cognitive impairment in adults

Ca-A Cancer Journal for Clinicians, 2015
Jeffrey S Wefel, Shelli R Kesler
exaly  

Functional Imaging of Cancer with Emphasis on Molecular Techniques

Ca-A Cancer Journal for Clinicians, 2007
Mohamed Houseni
exaly  

Application of Nanotechnology in Cancer Therapy and Imaging

Ca-A Cancer Journal for Clinicians, 2008
Dong M Shin
exaly  

Practical clinical interventions for diet, physical activity, and weight control in cancer survivors

Ca-A Cancer Journal for Clinicians, 2015
Wendy Demark-Wahnefried, Laura Q Rogers, Catherine M Alfano   +2 more
exaly  

Hypnosis for cancer care: Over 200 years young

Ca-A Cancer Journal for Clinicians, 2013
Guy H Montgomery, Julie B Schnur
exaly