Discriminative Factor Alignment across Heterogeneous Feature Space.
Fangwei HuTianqi ChenNathan Nan LiuQiang YangYong YuPublished in: ECML/PKDD (2) (2012)
Keyphrases
- feature space
- discriminating power
- feature extraction
- feature selection
- high dimensional
- kernel function
- input space
- mean shift
- image retrieval
- hyperplane
- principal component analysis
- input data
- high dimensionality
- image alignment
- classification accuracy
- dynamic time warping
- image representation
- class separability
- sparse coding
- kernel methods
- unsupervised learning
- feature set
- dimensionality reduction
- discriminative power
- feature vectors
- discriminative features
- factor analysis
- image processing
- linear discriminant analysis
- training samples
- data points
- support vector
- low dimensional
- multiple features
- hidden markov models
- lower dimensional
- heterogeneous networks
- training set
- riemannian manifolds
- latent space
- word alignment
- machine learning