Supervised locally linear embedding with probability-based distance for classification.
Lingxiao ZhaoZhenyue ZhangPublished in: Comput. Math. Appl. (2009)
Keyphrases
- supervised learning
- feature selection
- classification accuracy
- machine learning
- locally linear embedding
- unsupervised learning
- decision trees
- feature mapping
- low dimensional
- dimensionality reduction
- feature space
- support vector
- pattern recognition
- high dimensional
- euclidean distance
- high dimensional data
- image classification
- distance measure
- preprocessing
- feature vectors
- training set
- semi supervised
- support vector machine svm
- distance transform
- learning algorithm
- data mining
- computer vision
- manifold learning
- nonlinear dimensionality reduction