Subspace learning from extremely compressed measurements.
Martin AzizyanAkshay KrishnamurthyAarti SinghPublished in: ACSSC (2014)
Keyphrases
- subspace learning
- dimensionality reduction
- principal component analysis
- data representation
- manifold learning
- sparse coding
- learning algorithm
- low dimensional
- sparse representation
- face recognition
- fisher criterion
- high dimensional data
- maximum margin criterion
- semi supervised
- subspace learning algorithm
- data mining
- action recognition
- neural network
- high dimensional
- image processing