16 search results - page 2 / 4 » Direct importance estimation with probabilistic principal co... |
ADBIS
2003
Springer
13 years 10 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
ACL
2000
13 years 6 months ago
2000
This paper presents a corpus-based algorithm capable of inducing inflectional morphological analyses of both regular and highly irregular forms (such as broughtbring) from distrib...
CORR
2000
Springer
13 years 4 months ago
2000
Springer
Analyzing the effect of concentrated noise on a typical decision-making process of a simplified two-candidate voting model, we have demonstrated that a local approach using a regi...