Global Binary Optimization on Graphs for Classification of High-Dimensional Data.
Ekaterina MerkurjevEgil BaeAndrea L. BertozziXue-Cheng TaiPublished in: J. Math. Imaging Vis. (2015)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- high dimensions
- small sample size
- regression problems
- subspace clustering
- data sets
- high dimensional feature spaces
- data analysis
- data points
- feature selection
- linear discriminant analysis
- feature space
- multivariate temporal data
- high dimensional spaces
- clustering high dimensional data
- similarity search
- machine learning
- nonlinear dimensionality reduction
- feature vectors
- manifold learning
- subspace learning
- input space
- pattern recognition
- dimensional data
- database
- support vector machine svm
- variable weighting
- data mining
- high dimensional data sets
- decision trees
- feature extraction
- support vector machine
- text classification
- data distribution
- training set
- image processing
- sparse representation
- model selection
- training samples