Non-linear PCA: a missing data approach.
Matthias ScholzFatma KaplanCharles L. GuyJoachim KopkaJoachim SelbigPublished in: Bioinform. (2005)
Keyphrases
- missing data
- principal component analysis
- principal components
- low rank
- missing values
- incomplete data
- matrix factorization
- face recognition
- structure from motion
- dimensionality reduction
- feature extraction
- data imputation
- motion segmentation
- negative matrix factorization
- multiple imputation
- linear discriminant analysis
- random projections
- dimension reduction
- face images
- feature space
- missing information
- imprecise data
- probabilistic model
- automatic relevance determination
- training data