613 search results - page 7 / 123 » Learning the Structure of Linear Latent Variable Models |
CSB
2003
IEEE
14 years 23 days ago
2003
IEEE
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
MLMI
2007
Springer
14 years 1 months ago
2007
Springer
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
Topic models such as Latent Dirichlet Allocation (LDA) and Correlated Topic Model (CTM) have recently emerged as powerful statistical tools for text document modeling. In this pap...