Multi-feature Subspace Learning via Sparse Correlation Fusion and Embedding.
Hong ZhangYanpeng ZhangPublished in: PCM (2013)
Keyphrases
- multi feature
- subspace learning
- feature fusion
- sparse representation
- sparse coding
- image classification
- dimensionality reduction
- high dimensional
- multiple features
- low dimensional
- data representation
- manifold learning
- face recognition
- principal component analysis
- multi class
- canonical correlation analysis
- feature extraction
- high dimensional data
- semi supervised
- learning algorithm
- dimension reduction
- natural images
- unsupervised learning
- neural network
- fusion method
- discriminative power
- multi sensor
- machine learning
- multiscale
- pattern recognition
- feature space
- pairwise
- nearest neighbor
- visual features
- denoising
- signal processing
- data fusion
- generative model
- image representation