Two-dimensional subspace alignment for convolutional activations adaptation.
Hao LuZhiguo CaoYang XiaoYanjun ZhuPublished in: Pattern Recognit. (2017)
Keyphrases
- three dimensional
- principal component analysis
- subspace clustering
- low dimensional
- feature space
- image alignment
- high dimensional data
- multi dimensional
- deep learning
- adaptation process
- high dimensional
- feature extraction
- dimensionality reduction
- subspace clusters
- clustering high dimensional data
- subspace learning
- procrustes analysis
- activation patterns
- word alignment
- restricted boltzmann machine
- multiple sequence alignment
- packing problem
- dynamic time warping
- sparse coding
- sparse representation
- d objects
- probabilistic model
- pairwise
- pattern recognition