406 search results - page 34 / 82 » Gaussian Mixture Modeling with Gaussian Process Latent Varia... |
GEOINFO
2007
14 years 11 months ago
2007
Abstract. We present a method to perform model selection based on predictive density in a class of spatio-temporal dynamic generalized linear models for areal data. These models as...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
DSMML
2004
Springer
15 years 3 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
110
click to vote
CVIU
2011
14 years 1 months ago
2011
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
TASLP
2010
14 years 4 months ago
2010
Abstract--This paper presents a novel method for automatically classifying consumer video clips based on their soundtracks. We use a set of 25 overlapping semantic classes, chosen ...