Monte Carlo subspace method: An incremental approach to high-dimensional data classification.
Tomoya SakaiPublished in: ICPR (2008)
Keyphrases
- monte carlo
- high dimensional data
- subspace methods
- high dimensionality
- linear discriminant analysis
- dimension reduction
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- lower dimensional
- regression problems
- manifold learning
- markov chain
- subspace clustering
- classification accuracy
- data points
- input space
- principal component analysis
- original data
- data sets
- data analysis
- pattern recognition
- particle filter
- feature space
- feature extraction
- decision trees
- support vector machine
- machine learning
- support vector
- support vector machine svm
- feature selection
- machine learning methods
- text classification
- subspace learning
- input data
- class labels
- kernel function
- training samples
- k nearest neighbor
- supervised learning
- knn
- image data
- face recognition
- data mining
- neural network