Noise-resistant local binary pattern based on random projection.
Shasha LiYukai TuWeihong DengJiwen LuPublished in: ACPR (2015)
Keyphrases
- random projections
- noise resistant
- dimensionality reduction
- lossy image compression
- compressed sensing
- random sampling
- hash functions
- image reconstruction
- dimension reduction
- principal component analysis
- sparse representation
- original data
- high dimensionality
- neural network
- low dimensional
- semi supervised
- document clustering
- active learning
- high quality
- data sets
- high dimensional data
- image data
- feature extraction
- face recognition
- image processing
- machine learning