Dimensionality Reduction for Content-Based Image Classification.
Edyta MrówkaAndrés DoradoWitold PedryczEbroul IzquierdoPublished in: IV (2004)
Keyphrases
- image classification
- dimensionality reduction
- feature extraction
- image representation
- image retrieval
- high dimensional data
- bag of words
- principal component analysis
- high dimensionality
- visual features
- feature space
- high dimensional
- low dimensional
- pattern recognition
- image features
- data points
- sparse representation
- multimedia
- visual words
- linear discriminant analysis
- manifold learning
- visual information retrieval
- data representation
- bag of features
- structure preserving
- pattern recognition and machine learning
- feature selection
- class specific
- random projections
- nonlinear dimensionality reduction
- multi label
- feature set
- relevance feedback
- retrieval method
- feature vectors
- lower dimensional
- kernel learning
- dimensionality reduction methods
- unsupervised feature selection
- image processing
- linear dimensionality reduction
- data sets