523 search results - page 10 / 105 » Hierarchical Mixture Models for Nested Data Structures |
NIPS
2004
13 years 9 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
BMCBI
2007
13 years 8 months ago
2007
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
IJON
2011
12 years 12 months ago
2011
, Yunde Jia Model structure selection is currently an open problem in modeling data via Gaussian Mixture Models (GMM). This paper proposes a discriminative method to select GMM st...
CAV
2000
Springer
14 years 1 days ago
2000
Springer
Hierarchical state machines is a popular visual formalism for software specifications. To apply automated analysis to such specifications, the traditional approach is to compile th...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
In this paper we present a new density estimation algorithm using mixtures of mixtures of Gaussians. The new algorithm overcomes the limitations of the popular Expectation Maximiza...