27 search results - page 2 / 6 » SVMs, Gaussian mixtures, and their generative discriminative... |
DAGM
2010
Springer
13 years 6 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
MCS
2005
Springer
13 years 10 months ago
2005
Springer
This paper describes a unified approach, based on Gaussian Processes, for achieving sensor fusion under the problematic conditions of missing channels and noisy labels. Under the ...
TSP
2008
13 years 5 months ago
2008
In this paper, the expectation-maximization (EM) algorithm for Gaussian mixture modeling is improved via three statistical tests. The first test is a multivariate normality criteri...
ICIAP
2009
ACM
14 years 5 months ago
2009
ACM
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
CSDA
2008
13 years 5 months ago
2008
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...