Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning.
Haripriya HarikumarThin NguyenSantu RanaSunil GuptaRamachandra KaimalSvetha VenkateshPublished in: ADMA (2016)
Keyphrases
- subspace learning
- dimensionality reduction
- data representation
- manifold learning
- maximum margin criterion
- low dimensional
- semi supervised
- principal component analysis
- high dimensional data
- sparse coding
- face recognition
- learning algorithm
- neural network
- sparse representation
- relational databases
- image classification
- subspace learning algorithm