Maximum Margin Projection Subspace Learning for Visual Data Analysis.
Symeon NikitidisAnastasios TefasIoannis PitasPublished in: IEEE Trans. Image Process. (2014)
Keyphrases
- maximum margin
- subspace learning
- data analysis
- learning algorithm
- high dimensional data
- dimensionality reduction
- data representation
- manifold learning
- low dimensional
- hyperplane
- pattern classification
- support vector
- markov networks
- principal component analysis
- support vector machine
- sparse coding
- data mining
- face recognition
- sparse representation
- high order
- semi supervised
- multiple kernel learning
- machine learning
- unsupervised learning
- multi task
- pattern recognition
- text classification
- neural network
- graphical models
- object recognition
- decision trees
- image processing
- generalization error
- prior knowledge