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ESANN
2006
13 years 9 months ago
A Gaussian process latent variable model formulation of canonical correlation analysis
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
Gayle Leen, Colin Fyfe
JGS
2010
89views more  JGS 2010»
13 years 2 months ago
Spatial models with spatially lagged dependent variables and incomplete data
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent va...
Harry H. Kelejian, Ingmar R. Prucha
EMNLP
2008
13 years 9 months ago
Sampling Alignment Structure under a Bayesian Translation Model
We describe the first tractable Gibbs sampling procedure for estimating phrase pair frequencies under a probabilistic model of phrase alignment. We propose and evaluate two nonpar...
John DeNero, Alexandre Bouchard-Côté,...
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
13 years 7 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
CVPR
2006
IEEE
14 years 9 months ago
Differential Tracking based on Spatial-Appearance Model (SAM)
A fundamental issue in differential motion analysis is the compromise between the flexibility of the matching criterion for image regions and the ability of recovering the motion....
Ting Yu, Ying Wu