Classification and clustering via dictionary learning with structured incoherence and shared features.
Ignacio RamírezPablo SprechmannGuillermo SapiroPublished in: CVPR (2010)
Keyphrases
- dictionary learning
- sparse representation
- class specific
- sparse coding
- feature vectors
- object category recognition
- feature extraction
- feature space
- clustering algorithm
- svm classifier
- unsupervised learning
- image classification
- sparse codes
- pattern recognition
- text classification
- machine learning
- image features
- group sparsity
- image patches
- dictionary learning for sparse
- discriminative dictionary
- image segmentation
- training data
- data analysis
- data points
- supervised learning
- keypoints
- support vector machine
- semi supervised
- co occurrence