Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition.
Kun ZhaoArnold WiliemBrian C. LovellPublished in: ISBA (2015)
Keyphrases
- gender recognition
- random projections
- gait cycle
- dimension reduction
- dimensionality reduction
- gender classification
- depth images
- face images
- principal component analysis
- sparse representation
- image reconstruction
- original data
- singular value decomposition
- random sampling
- gait recognition
- hash functions
- low dimensional
- human recognition
- human actions
- pattern recognition
- gait analysis
- high dimensionality
- data points
- active learning
- high quality
- document clustering
- data sets
- sample size
- feature space