SCaLE: Supervised and Cascaded Laplacian Eigenmaps for Visual Object Recognition Based on Nearest Neighbors.
Ruobing WuYizhou YuWenping WangPublished in: CVPR (2013)
Keyphrases
- visual object recognition
- nearest neighbor
- laplacian eigenmaps
- manifold learning
- kernel pca
- object recognition
- k nearest neighbor
- nonlinear dimensionality reduction
- locally linear embedding
- semi supervised
- high dimensional data
- high dimensional
- knn
- unsupervised learning
- learning algorithm
- training set
- graph laplacian
- feature selection
- dimensionality reduction
- decision boundary
- low dimensional
- weakly supervised
- neural network
- supervised learning
- data points
- machine learning
- empirical mode decomposition
- data analysis