Results 31 to 40 of about 102,586 (261)
Algebraic Identifiability of Gaussian Mixtures [PDF]
International Mathematics Research Notices, 2017 18 pages, to appear in International Mathematics Research ...
Ranestad, Kristian +2 more
openaire +4 more sources
Particle Gaussian mixture filters-I
Automatica, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dilshad Raihan Akkam Veettil +1 more
openaire +3 more sources
Estimating the Joint Probability of Scenario Parameters With Gaussian Mixture Copula Models
IEEE Open Journal of Intelligent Transportation SystemsThis paper presents the first application of Gaussian Mixture Copula Models to the statistical modeling of driving scenarios for the safety validation of automated driving systems. Knowledge of the joint probability distribution of scenario parameters is
Christian Reichenbacher +3 more
doaj +1 more source
Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation
Entropy, 2009 By a “covering” we mean a Gaussian mixture model fit to observed data. Approximations of the Bayes factor can be availed of to judge model fit to the data within a given Gaussian mixture model.
Jean-Luc Starck +2 more
doaj +1 more source
Robust Learning of Mixtures of Gaussians [PDF]
, 2021 We resolve one of the major outstanding problems in robust statistics. In particular, if $X$ is an evenly weighted mixture of two arbitrary $d$-dimensional Gaussians, we devise a polynomial time algorithm that given access to samples from $X$ an $\eps$-fraction of which have been adversarially corrupted, learns $X$ to error $\poly(\eps)$ in total ...
openaire +2 more sources
An Improved Gaussian Mixture CKF Algorithm under Non-Gaussian Observation Noise
Discrete Dynamics in Nature and Society, 2016 In order to solve the problems that the weight of Gaussian components of Gaussian mixture filter remains constant during the time update stage, an improved Gaussian Mixture Cubature Kalman Filter (IGMCKF) algorithm is designed by combining a Gaussian ...
Hongjian Wang, Cun Li
doaj +1 more source
Average Entropy of Gaussian Mixtures
EntropyWe calculate the average differential entropy of a q-component Gaussian mixture in Rn. For simplicity, all components have covariance matrix σ21, while the means {Wi}i=1q are i.i.d. Gaussian vectors with zero mean and covariance s21. We obtain a series expansion in μ=s2/σ2 for the average differential entropy up to order O(μ2), and we provide a recipe ...
Basheer Joudeh, Boris Skoric
openaire +6 more sources
On the Number of Modes of a Gaussian Mixture [PDF]
, 2003 We consider a problem intimately related to the creation of maxima under Gaussian blurring: the number of modes of a Gaussian mixture in D dimensions. To our knowledge, a general answer to this question is not known. We conjecture that if the components of the mixture have the same covariance matrix (or the same covariance matrix up to a scaling factor)
Miguel Á. Carreira-Perpiñán +1 more
openaire +1 more source
The whole and its parts: Visualizing Gaussian mixture models
Visual InformaticsGaussian mixture models are classical but still popular machine learning models. An appealing feature of Gaussian mixture models is their tractability, that is, they can be learned efficiently and exactly from data, and also support efficient exact ...
Joachim Giesen +4 more
doaj +1 more source
Ensemble image registration by a spatially constrained clustering approach
International Journal of Advanced Robotic Systems, 2016 In this article, a novel spatially constrained clustering approach is proposed for ensemble image registration. We use a spatially constrained Gaussian mixture model, which is based on a joint Gaussian mixture model and Markov random field, to model the ...
Hao Zhu +3 more
doaj +1 more source