148 search results - page 17 / 30 » Riemannian Manifold Learning for Nonlinear Dimensionality Re... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
IRI
2007
IEEE
14 years 1 months ago
2007
IEEE
Many applications require analyzing vast amounts of textual data, but the size and inherent noise of such data can make processing very challenging. One approach to these issues i...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenm...
FGR
2006
IEEE
14 years 1 months ago
2006
IEEE
An unsupervised nonparametric approach is proposed to automatically extract representative face samples (exemplars) from a video sequence or an image set for multipleshot face rec...
SPEECH
1998
13 years 7 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...