A comparative study of dimensionality reduction methods for large-scale image retrieval.
Li ZhuoBo ChengJing ZhangPublished in: Neurocomputing (2014)
Keyphrases
- dimensionality reduction methods
- dimensionality reduction
- discriminant analysis
- principal component analysis
- knn
- data sets
- preprocessing step
- principal components analysis
- random projections
- discriminant projection
- nonlinear dimensionality reduction
- distance measure
- k nearest neighbor
- feature set
- feature fusion
- data points
- digital libraries
- manifold learning
- high dimensional
- pattern recognition
- document clustering
- model selection
- principal components
- singular value decomposition
- high dimensional data
- unsupervised learning
- data mining techniques
- information extraction
- preprocessing
- face recognition
- machine learning