Sciweavers

468 search results - page 22 / 94
» A Hierarchical Latent Variable Model for Data Visualization
Sort
View
ICCV
2005
IEEE
14 years 2 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 2 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
JMLR
2010
93views more  JMLR 2010»
13 years 3 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
14 years 2 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
IJON
2008
123views more  IJON 2008»
13 years 8 months ago
Bayesian estimation of time delays between unevenly sampled signals
A method for estimating time delays between signals that are irregularly sampled is presented. The approach is based on postulating a latent variable model from which the observed...
Markus Harva, Somak Raychaudhury