Gender from Body: A Biologically-Inspired Approach with Manifold Learning.
Guodong GuoGuowang MuYun FuPublished in: ACCV (3) (2009)
Keyphrases
- biologically inspired
- manifold learning
- low dimensional
- dimensionality reduction
- high dimensional
- semi supervised
- nonlinear dimensionality reduction
- biologically plausible
- human body
- high dimensional data
- dimension reduction
- diffusion maps
- laplacian eigenmaps
- head pose estimation
- humanoid robot
- scene classification
- feature extraction
- low dimensional manifolds
- sparse representation
- spiking neural networks
- manifold structure
- feature space
- manifold embedding
- locally linear embedding
- geodesic distance
- object recognition
- multiscale