Compressing Sparse Feature Vectors Using Random Ortho-Projections.
Esa RahtuMikko SaloJanne HeikkiläPublished in: ICPR (2010)
Keyphrases
- feature vectors
- binary matrices
- feature space
- gaussian mixture model
- euclidean distance
- rotation invariant
- data compression
- image features
- high dimensional
- similarity measure
- feature extraction
- sparse data
- hidden markov models
- neural network
- discrete tomography
- compressed sensing
- uniformly distributed
- texture features
- learning algorithm
- machine learning
- radon transform
- shape descriptors
- compressive sensing
- data sets
- sparse matrix
- image quality
- face images