Classification of Features and Images using Gauss Mixtures with VQ Clustering.
Ying-zong HuangDeirdre B. O'BrienRobert M. GrayPublished in: Data Compression Conference (2004)
Keyphrases
- image features
- image classification
- extracting features
- extracted features
- correct classification rate
- feature vectors
- feature extraction
- feature representation
- visual object recognition
- classification models
- original images
- image database
- individual features
- classification accuracy
- test images
- image data
- discriminative features
- input image
- multiple classifiers
- feature space
- high dimensionality
- gabor filters
- image set
- classification method
- skin lesion
- classification process
- som neural network
- svm classifier
- object recognition
- vector quantization
- feature set
- self organizing maps
- highly discriminative
- spatial information
- image registration
- unsupervised learning
- clustering algorithm
- image retrieval
- clustering method
- image coding
- class labels
- feature selection
- gray level co occurrence matrix
- support vector machine
- k means
- fisher linear discriminant
- mixture model
- textural features
- support vector
- training set
- face recognition
- similarity measure
- image regions
- high dimensional
- image blocks
- visual words
- image quality