Sufficient dimension reduction for visual sequence classification.
Alex ShyrRaquel UrtasunMichael I. JordanPublished in: CVPR (2010)
Keyphrases
- dimension reduction
- sequence classification
- sequence data
- principal component analysis
- hidden markov models
- markov models
- low dimensional
- high dimensional
- high dimensional data
- feature extraction
- singular value decomposition
- feature selection
- unsupervised learning
- linear discriminant analysis
- high dimensionality
- cluster analysis
- dimensionality reduction
- discriminative learning
- conditional random fields
- feature space
- training data
- data mining
- model selection
- higher order
- preprocessing
- data representation
- decision trees