Kernel Trick Embedded Gaussian Mixture Model.
Jingdong WangJianguo LeeChangshui ZhangPublished in: ALT (2003)
Keyphrases
- gaussian mixture model
- kernel trick
- feature space
- maximum margin
- kernel methods
- dimensionality reduction
- mixture model
- input space
- kernel pca
- kernel function
- feature vectors
- regression algorithm
- high dimensional feature space
- maximum likelihood
- infinite dimensional
- em algorithm
- sparse coding
- gaussian mixture
- expectation maximization
- nonlinear models
- visual words
- discriminative learning
- multiple kernel learning
- image representation
- gaussian model
- dimensionality reduction methods
- image classification
- principal component analysis
- pattern recognition
- data sets
- feature set
- support vector machine
- data points
- high dimensional
- feature selection
- linear discriminant analysis
- generative model
- image features
- machine learning