Optimal dimension reduction for image retrieval with correlation metrics.
Yuhua ZhuWashington MioXiuwen LiuPublished in: IJCNN (2009)
Keyphrases
- dimension reduction
- image retrieval
- principal component analysis
- high dimensional
- feature extraction
- feature space
- low dimensional
- variable selection
- high dimensional data
- random projections
- high dimensional problems
- manifold learning
- linear discriminant analysis
- cluster analysis
- feature selection
- singular value decomposition
- partial least squares
- data mining and machine learning
- high dimensionality
- high dimensional data analysis
- unsupervised learning
- image representation
- dimensionality reduction
- discriminative information
- database
- preprocessing
- image processing
- visual features
- object recognition
- bayesian networks
- face recognition
- learning algorithm
- real world
- neural network