Pose-Sensitive Embedding by Nonlinear NCA Regression.
Graham W. TaylorRob FergusGeorge WilliamsIan SpiroChristoph BreglerPublished in: NIPS (2010)
Keyphrases
- manifold embedding
- head pose estimation
- simple linear
- nonlinear manifold learning
- locally linear
- gaussian process latent variable models
- pose estimation
- regression model
- nonlinear regression
- vector space
- nonlinear functions
- generalized linear
- support vector regression
- regression problems
- locally weighted
- regression analysis
- manifold learning
- model selection
- d objects
- neural network
- nonlinear dimensionality reduction
- linear regression
- low dimensional manifolds
- support vector
- computer vision
- pose variations
- kernel pca
- regression methods
- gaussian processes
- highly nonlinear
- object recognition