Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification.
Chunjie ZhangChao LiangJunbiao PangYifan ZhangJing LiuLei QinQingming HuangPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- linear transformation
- image classification
- bag of words
- image representation
- sparse representation
- visual words
- codebook generation
- image features
- linear transformations
- vector quantization
- zernike moments
- feature extraction
- distance metric
- supervised dimensionality reduction
- least squares
- convex optimization
- high dimensional