34 search results - page 5 / 7 » Supervised Dimension Reduction Using Bayesian Mixture Modeli... |
ACCV
2006
Springer
14 years 1 months ago
2006
Springer
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
MA
2010
Springer
13 years 5 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
BIBM
2008
IEEE
14 years 1 months ago
2008
IEEE
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
SSPR
2004
Springer
14 years 11 days ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...