Comparative Study on Dimensionality Reduction in Large-Scale Image Retrieval.
Bo ChengLi ZhuoJing ZhangPublished in: ISM (2013)
Keyphrases
- comparative study
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensionality
- high dimensional data
- principal component analysis
- preprocessing step
- input space
- feature space
- data points
- pattern recognition
- dimensionality reduction methods
- data representation
- pattern recognition and machine learning
- linear discriminant analysis
- manifold learning
- feature extraction
- euclidean distance
- structure preserving
- lower dimensional
- principal components
- graph embedding
- intrinsic dimensionality
- multidimensional scaling
- random projections
- dimension reduction
- feature selection
- active learning
- computer vision
- diffusion maps
- linear dimensionality reduction
- neural network
- databases
- kernel learning
- nonlinear dimensionality reduction
- website
- soft assignment
- linear projection