Thermographic Data Analysis for Defect Detection by Imposing Spatial Connectivity and Sparsity Constraints in Principal Component Thermography.
Ching-Mei WenStefano SfarraGianfranco GargiuloYuan YaoPublished in: IEEE Trans. Ind. Informatics (2021)
Keyphrases
- principal components
- defect detection
- data analysis
- sparsity constraints
- principal component analysis
- feature extraction
- dimensionality reduction
- negative matrix factorization
- spatial information
- principal component regression
- sparse representation
- low rank
- nonnegative matrix factorization
- covariance matrix
- data mining
- cluster analysis
- high dimensional data
- np hard
- sparse coding
- natural images
- computer vision