Sensing-aware classification with high-dimensional data.
Burkay OrtenPrakash IshwarW. Clem KarlVenkatesh SaligramaHomer H. PienPublished in: ICASSP (2011)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- small sample size
- data sets
- regression problems
- data points
- subspace clustering
- similarity search
- data analysis
- multivariate temporal data
- feature selection
- input space
- clustering high dimensional data
- linear discriminant analysis
- image classification
- nonlinear dimensionality reduction
- pattern recognition
- high dimensional feature spaces
- data distribution
- high dimensions
- decision trees
- missing values
- feature space
- neural network
- dimensional data
- high dimensional spaces
- high dimensional datasets
- manifold learning
- svm classifier
- support vector machine svm
- variable weighting
- classification algorithm
- machine learning
- lower dimensional
- feature vectors
- database
- variable selection
- locally linear embedding
- dimensionality reduction methods
- real world
- text data
- image data
- training samples
- feature set