Dimension Reduction Using Semi-Supervised Locally Linear Embedding for Plant Leaf Classification.
Shanwen ZhangKwok-Wing ChauPublished in: ICIC (1) (2009)
Keyphrases
- dimension reduction
- manifold learning
- locally linear embedding
- low dimensional
- high dimensional data
- dimensionality reduction
- semi supervised
- principal component analysis
- nonlinear dimensionality reduction
- high dimensional
- feature extraction
- subspace learning
- high dimensionality
- unsupervised learning
- discriminative information
- manifold learning algorithm
- random projections
- linear discriminant analysis
- feature space
- singular value decomposition
- cluster analysis
- feature selection
- data sets
- locality preserving projections
- decision trees
- pattern recognition
- nearest neighbor
- unlabeled data
- face recognition
- dimensionality reduction methods
- labeled and unlabeled data
- partial least squares
- supervised learning
- image classification
- object recognition
- feature vectors
- principal components analysis
- active learning
- knn
- semi supervised learning
- sparse representation
- support vector machine svm