Texas A&M University / University of North Carolina / Chapel Hill / King Abdullah University of Science / University of Pennsylvania / /
IndustryTerm
online show / optimization algorithm / iterative power algorithm / inner products / power algorithm / telephone call center / important tool / readers fruitless search / /
NaturalFeature
Chapel Hill / /
Organization
Wharton School / National Science Foundation / King Abdullah University of Science and Technology / University of North Carolina / Department of Statistics / FDA / University of Pennsylvania / Philadelphia / Texas A&M University / /
Person
Andreas Buja Abstract Two / Jianhua Z. Huang / Haipeng Shen / Andreas Buja / / /
Position
Professor / Assistant Professor / /
ProvinceOrState
Texas / Pennsylvania / North Carolina / /
Technology
alternating optimization algorithm / alternating power algorithm / power algorithm / machine learning / SVD algorithms / simulation / iterative power algorithm / /
The Analysis of Two-Way Functional Data Using Two-Way Regularized Singular Value Decompositions Jianhua Z. Huang, Haipeng Shen and Andreas Buja Abstract Two-way functional data consist of a data matrix whose row and colu