Semisupervised Multimodal Dimensionality Reduction.
Zhao ZhangTommy W. S. ChowNing YePublished in: Comput. Intell. (2013)
Keyphrases
- dimensionality reduction
- semi supervised
- high dimensional
- semi supervised dimensionality reduction
- high dimensional data
- principal component analysis
- feature extraction
- data representation
- pattern recognition
- multi modal
- metric learning
- dimensionality reduction methods
- manifold learning
- low dimensional
- multimodal data
- lower dimensional
- structure preserving
- feature selection
- principal components
- label information
- feature space
- multimodal interaction
- high dimensionality
- pairwise
- linear discriminant analysis
- pattern recognition and machine learning
- kernel learning
- multitask learning
- linear dimensionality reduction
- input space
- data points
- random projections
- multidimensional scaling
- dimension reduction
- kernel pca
- audio visual
- locally linear embedding
- data sets
- unlabeled data
- labeled data
- feature set
- supervised learning
- least squares
- multimodal information
- neural network