Manifold and transfer subspace learning for cross-domain vehicle recognition in dynamic systems.
Olga Mendoza-SchrockMateen M. RizkiVincent J. VeltenPublished in: FUSION (2015)
Keyphrases
- cross domain
- dynamic systems
- subspace learning
- manifold learning
- low dimensional
- linear subspace
- dimensionality reduction
- transfer learning
- domain adaptation
- knowledge transfer
- complex systems
- text categorization
- feature extraction
- data representation
- dynamical systems
- high dimensional
- object recognition
- pattern recognition
- learning algorithm
- semi supervised
- high dimensional data
- cross domain learning
- manifold structure
- natural images
- particle filter
- e government
- knowledge sharing
- unsupervised learning
- dimension reduction
- sparse coding
- principal component analysis
- pairwise
- feature space
- face recognition
- data mining
- e learning
- multi agent systems
- target domain
- support vector machine
- nearest neighbor
- learning tasks