148 search results - page 23 / 30 » Riemannian Manifold Learning for Nonlinear Dimensionality Re... |
AMFG
2005
IEEE
14 years 1 months ago
2005
IEEE
We present a new framework to represent and analyze dynamic facial motions using a decomposable generative model. In this paper, we consider facial expressions which lie on a one d...
PR
2010
13 years 5 months ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
NIPS
2003
13 years 8 months ago
2003
Spectral methods for nonlinear dimensionality reduction (NLDR) impose a neighborhood graph on point data and compute eigenfunctions of a quadratic form generated from the graph. W...
JMLR
2010
13 years 2 months ago
2010
The problems of dimension reduction and inference of statistical dependence are addressed by the modeling framework of learning gradients. The models we propose hold for Euclidean...
CMMR
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...