Laplacian Eigenmaps Regularized Feature Mapping for Image Annotation.
Qianqian ShaoBao-Di LiuPublished in: SMC (2019)
Keyphrases
- image annotation
- feature mapping
- laplacian eigenmaps
- multiple instance learning
- manifold learning
- nonlinear dimensionality reduction
- image understanding
- kernel pca
- multi modal
- image content
- image retrieval
- multi label
- visual features
- locally linear embedding
- dimensionality reduction
- low dimensional
- graph laplacian
- empirical mode decomposition
- high dimensional
- pattern recognition
- low level features
- image classification
- principal component analysis
- basis functions
- image data
- feature extraction
- euclidean space
- sparse representation
- dimensionality reduction methods
- kernel methods
- machine learning
- high dimensional data
- random walk
- supervised learning
- semi supervised
- feature space
- keywords
- computer vision