Subspace Learning from Extremely Compressed Measurements.
Akshay KrishnamurthyMartin AzizyanAarti SinghPublished in: CoRR (2014)
Keyphrases
- subspace learning
- dimensionality reduction
- manifold learning
- principal component analysis
- data representation
- learning algorithm
- low dimensional
- face recognition
- fisher criterion
- sparse coding
- maximum margin criterion
- semi supervised
- high dimensional
- sparse representation
- pattern recognition
- multiscale
- small number
- high dimensional data
- keypoints
- image segmentation
- machine learning
- neural network
- data sets