A subspace ensemble framework for classification with high dimensional missing data.
Hang GaoSonglei JianYuxing PengXinwang LiuPublished in: Multidimens. Syst. Signal Process. (2017)
Keyphrases
- missing data
- high dimensional
- multiple imputation
- missing values
- high dimensional data
- feature space
- matrix factorization
- dimensionality reduction
- noisy data
- feature extraction
- low rank
- motion segmentation
- high dimensionality
- incomplete data
- low dimensional
- data imputation
- training set
- feature selection
- support vector machine
- ensemble classifier
- pattern recognition
- automatic relevance determination
- kernel function
- structure from motion
- data sets
- principal component analysis
- data points
- learning algorithm
- machine learning
- neural network