215 search results - page 1 / 43 » Gaussian mixture models for probabilistic localization |
ICRA
2008
IEEE
13 years 11 months ago
2008
IEEE
— One of the key tasks during the realization of probabilistic approaches to localization is the design of a proper sensor model, that calculates the likelihood of a measurement ...
ESANN
2007
13 years 6 months ago
2007
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
PAKDD
2005
ACM
13 years 10 months ago
2005
ACM
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Accurately modeling object colors, and features in general, plays a critical role in video segmentation and analysis. Commonly used color models, such as global Gaussian mixtures, ...