Hierarchical Feature Extraction using Partial Least Squares Regression and Clustering for Image Classification.
Ryoma HasegawaKazuhiro HottaPublished in: VISIGRAPP (5: VISAPP) (2017)
Keyphrases
- image classification
- feature extraction
- partial least squares regression
- hierarchical clustering
- clustering algorithm
- clustering method
- image representation
- bag of words
- image processing
- classifier training
- k means
- image features
- cluster analysis
- feature vectors
- unsupervised learning
- categorical data
- sparse coding
- self organizing maps
- visual features
- face recognition
- hierarchical tree
- visual words
- dimensionality reduction
- pattern classification
- feature space
- data clustering
- preprocessing
- feature representation
- agglomerative clustering
- bag of features
- feature extraction and classification
- feature extractors
- wavelet transform
- texture features
- spectral clustering
- frequency domain
- data mining
- nearest neighbor
- principal component analysis
- image preprocessing
- feature set
- pairwise
- sparse representation
- iris recognition
- outlier detection
- extracted features
- information theoretic
- palmprint
- texture classification
- fuzzy clustering
- hierarchical structure