Feature fusion using locally linear embedding for classification.
Bing-Yu SunXiaoming ZhangJiuyong LiXue-Min MaoPublished in: IEEE Trans. Neural Networks (2010)
Keyphrases
- feature fusion
- feature extraction
- dimensionality reduction methods
- dimensionality reduction
- locally linear embedding
- pattern recognition
- support vector machine svm
- classification accuracy
- support vector machine
- data reduction
- feature vectors
- support vector
- decision trees
- high dimensional
- feature selection
- text classification
- multiple features
- feature space
- knn
- machine learning
- image classification
- low dimensional
- high dimensional data
- learning algorithm
- principal components analysis
- training data
- data fusion
- multiscale
- supervised learning
- training set