Results 31 to 40 of about 64,340 (254)
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 Mixture of Gaussian Modelling of Polarimetric SAR Data
EURASIP Journal on Advances in Signal Processing, 2010 This paper describes a flexible non-Gaussian statistical method used to model polarimetric synthetic aperture radar (POLSAR) data. We outline the theoretical basis of the well-know product model as described by the class of Scale Mixture models and ...
Anthony P. Doulgeris +1 more
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Antenna Classification Using Gaussian Mixture Models (GMM) and Machine Learning
IEEE Open Journal of Antennas and Propagation, 2020 Radio frequency fingerprinting (RFF) is the concept arising from classification of wireless emitters due to their unique radio frequency features. RFF has been further extended to applications including both RF devices classification and wireless signal ...
Yihan Ma, Yang Hao
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Diffusion model conditioning on Gaussian mixture model and negative Gaussian mixture gradient
NeurocomputingDiffusion models (DMs) are a type of generative model that has a huge impact on image synthesis and beyond. They achieve state-of-the-art generation results in various generative tasks. A great diversity of conditioning inputs, such as text or bounding boxes, are accessible to control the generation.
Weiguo Lu +5 more
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Towards Robust 3D Face Verification Using Gaussian Mixture Models
International Journal of Advanced Robotic Systems, 2012 This paper focuses on the use of Gaussian Mixture models (GMM) for 3D face verification. A special interest is taken in practical aspects of 3D face verification systems, where all steps of the verification procedure need to be automated and no meta-data,
Janez Križaj +2 more
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Geosciences, 2018 We discuss the influence of different statistical models in the prediction of porosity and litho-fluid facies from logged and inverted acoustic impedance (Ip) values.
Mattia Aleardi
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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
doaj +1 more source
Variational learning for Gaussian mixture models [PDF]
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2006 This paper proposes a joint maximum likelihood and Bayesian methodology for estimating Gaussian mixture models. In Bayesian inference, the distributions of parameters are modeled, characterized by hyperparameters. In the case of Gaussian mixtures, the distributions of parameters are considered as Gaussian for the mean, Wishart for the covariance, and ...
Nikolaos Nasios, Adrian G. Bors
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Gaussian Mixture Solvers for Diffusion Models
Advances in Neural Information Processing Systems 36, 2023 Recently, diffusion models have achieved great success in generative tasks. Sampling from diffusion models is equivalent to solving the reverse diffusion stochastic differential equations (SDEs) or the corresponding probability flow ordinary differential equations (ODEs).
Hanzhong Guo +6 more
openaire +3 more sources
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source