Multilinear Principal Component Analysis of Tensor Objects for Recognition.
Haiping LuKonstantinos N. PlataniotisAnastasios N. VenetsanopoulosPublished in: ICPR (2) (2006)
Keyphrases
- principal component analysis
- dimensionality reduction
- higher order
- feature extraction
- high order
- tensor analysis
- object models
- recognition rate
- object representation
- partially occluded objects
- occluded objects
- recognition of partially occluded
- road signs
- principal components
- recognition accuracy
- pattern recognition
- object recognition
- d objects
- tensor decomposition
- object model
- recognizing objects
- objects in cluttered scenes
- independent component analysis
- dimension reduction
- data objects
- object description
- visual recognition
- object representations
- lower dimensional
- singular value decomposition
- subspace learning
- multiple objects
- recognition algorithm
- partial occlusion
- low dimensional
- training procedure
- high dimensional data
- face images
- action recognition
- activity recognition
- linear discriminant analysis
- covariance matrix
- higher order singular value decomposition
- image processing