Learning Visual Spatial Pooling by Strong PCA Dimension Reduction.
Haruo HosoyaAapo HyvärinenPublished in: Neural Comput. (2016)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- low dimensional
- learning algorithm
- feature space
- unsupervised learning
- dimensionality reduction
- reinforcement learning
- high dimensional data
- pattern recognition
- image processing
- singular value decomposition
- machine learning
- least squares
- computer vision
- principal components
- biologically inspired
- dimension reduction methods