Results 41 to 50 of about 942,483 (302)
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
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Online Quantum Mixture Regression for Trajectory Learning by Demonstration [PDF]
, 2013 16/01/14 MEB. Pre-print version OK to add.In this work, we present the online Quantum Mixture Model (oQMM), which combines the merits of quantum mechanics and stochastic optimization. More specifically it allows for quantum effects on the mixture states,
Dimitrios Korkinof +3 more
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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
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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
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Binomial Gaussian mixture filter [PDF]
EURASIP Journal on Advances in Signal Processing, 2015 In this work, we present a novel method for approximating a normal distribution with a weighted sum of normal distributions. The approximation is used for splitting normally distributed components in a Gaussian mixture filter, such that components have smaller covariances and cause smaller linearization errors when nonlinear measurements are used for ...
Matti Raitoharju +2 more
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Perfect posterior simulation for mixture and hidden Markov models [PDF]
, 2010 In this paper we present an application of the read-once coupling from the past algorithm to problems in Bayesian inference for latent statistical models.
Berthelsen, Kasper Klitgaard +6 more
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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
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Algebraic Identifiability of Gaussian Mixtures [PDF]
International Mathematics Research Notices, 2017 18 pages, to appear in International Mathematics Research ...
Ranestad, Kristian +2 more
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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
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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
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