PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data.
Ludmila I. KunchevaWilliam J. FaithfullPublished in: IEEE Trans. Neural Networks Learn. Syst. (2014)
Keyphrases
- change detection
- unlabeled data
- feature extraction
- principal component analysis
- labeled data
- semi supervised learning
- semi supervised
- active learning
- remote sensing
- text classification
- co training
- dimensionality reduction
- training set
- dimension reduction
- training data
- face recognition
- remote sensing images
- supervised learning
- labeled and unlabeled data
- data streams
- data points
- linear discriminant analysis
- semi supervised classification
- image registration
- learning algorithm
- feature vectors
- feature space
- pattern classification
- labeled training data
- face images
- labeled examples
- image processing
- principal components
- image classification
- pattern recognition
- training examples
- unsupervised learning
- feature selection
- support vector machine svm
- prior knowledge
- class labels
- low dimensional
- concept drift
- gamma distributions
- neural network
- labeled data for training
- multispectral
- similarity measure
- machine learning
- data mining