Content Completion in Lower Dimensional Feature Space through Feature Reduction and Compensation.
Mariko IsogawaDan MikamiKosuke TakahashiAkira KojimaPublished in: ISMAR (2015)
Keyphrases
- lower dimensional
- feature space
- feature reduction
- principal component analysis
- dimensionality reduction
- linear discriminant analysis
- high dimensional
- low dimensional
- feature set
- classification accuracy
- higher dimensional
- feature selection
- random projections
- high dimensional data
- original data
- support vector machine
- rough sets
- feature extraction
- high dimensionality
- data points
- feature vectors
- random forest
- text categorization
- data sets
- dimension reduction
- viterbi algorithm
- neural network