Discriminative Dimensionality Reduction for Multi-Dimensional Sequences.
Bing SuXiaoqing DingHao WangYing WuPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2018)
Keyphrases
- multi dimensional
- dimensionality reduction
- sequential patterns
- high dimensional
- feature extraction
- class discrimination
- unsupervised learning
- low dimensional
- pattern recognition
- range queries
- high dimensional data
- subspace learning
- sequential pattern mining
- index structure
- high dimensionality
- hidden markov models
- principal component analysis
- structure preserving
- manifold learning
- data representation
- feature selection
- data points
- principal components
- discriminative power
- feature space
- multi dimensional data
- latent space
- semi supervised
- multiple dimensions
- sequence alignment
- linear discriminant analysis
- discriminative learning
- kernel learning
- metric learning
- data cube
- image processing