Subspace Quantization on the Grassmannian.
Shannon StiversonMichael KirbyChris PetersonPublished in: WSOM+ (2019)
Keyphrases
- subspace learning
- linear subspace
- low dimensional
- high dimensional data
- dimensionality reduction
- principal component analysis
- lower dimensional
- high dimensional
- quantization error
- manifold learning
- learning algorithm
- subspace clustering
- clustering high dimensional data
- feature space
- sparse representation
- geometrical structure
- neural network
- quantization step
- data representation
- semi supervised
- sparse coding
- clustering method
- locality preserving projections
- quantization noise
- code length
- data points
- feature extraction