A biologically inspired latent space for gait parameterization.
Richard SouthernShihui GuoFangde LiuJian J. ZhangPublished in: SIGGRAPH Posters (2012)
Keyphrases
- biologically inspired
- latent space
- latent variables
- low dimensional
- gaussian process
- generative model
- parameter space
- feature space
- lower dimensional
- dimensionality reduction
- manifold learning
- high dimensional
- gaussian processes
- probabilistic latent semantic analysis
- matrix factorization
- scene classification
- gaussian process latent variable models
- distance metric
- gaussian mixture
- humanoid robot
- random variables
- transfer learning
- computer vision
- probabilistic model
- spatio temporal
- high dimensional data
- image classification
- principal component analysis
- semi supervised
- image features
- feature extraction