Pose-Sensitive Embedding by Nonlinear NCA Regression.

Graham W. Taylor Rob Fergus George Williams Ian Spiro Christoph Bregler

Published 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