Results 41 to 50 of about 901,615 (325)
Supervoxel Segmentation with Voxel-Related Gaussian Mixture Model
Sensors, 2018 Extended from superpixel segmentation by adding an additional constraint on temporal consistency, supervoxel segmentation is to partition video frames into atomic segments.
Zhihua Ban, Zhong Chen, Jianguo Liu
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Regression with Gaussian Mixture ModelsApplied to Track Fitting
Instruments, 2020 This note describes the application of Gaussian mixture regression to track fitting with a Gaussian mixture model of the position errors. The mixture model is assumed to have two components with identical component means.
Rudolf Frühwirth
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Mathematics, 2023 The mixture of experts (ME) model is effective for multimodal data in statistics and machine learning. To treat non-stationary probabilistic regression, the mixture of Gaussian processes (MGP) model has been proposed, but it may not perform well in some ...
Yurong Xie, Di Wu, Zhe Qiang
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Uniform convergence rates and uniform adaptive estimation in mixtures of regressions [PDF]
, 2018 In this thesis, we develop theoretical tools to examine estimators in non-parametric regression models in regard of uniform convergence rates and uniform adaptivity with respect to the smoothness of the parameter functions.
Werner, Heiko
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Responsible Gaussian Model: Matrix-Based Approximation of Gaussian Mixture Model
IEEE AccessMechanisms of deep learning are often viewed as a unclear structure and are difficult to interpret or control precisely using mathematical or engineering principles.
Wataru Obayashi +2 more
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Study on driver’s turning intention recognition hybrid model of GHMM and GGAP-RBF neural network
Advances in Mechanical Engineering, 2018 The accuracy and real time are crucial in turning intention recognition. Therefore, a hybrid model of Gaussian mixture hidden Markov and generalized growing and pruning algorithm for radial basis function neural network is constructed to recognize driver
Shu Wang, Qiang Yu, Xuan Zhao
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OPTICAL-TO-SAR IMAGE REGISTRATION BASED ON GAUSSIAN MIXTURE MODEL [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Image registration is a fundamental in remote sensing applications such as inter-calibration and image fusion. Compared to other multi sensor image registration problems such as optical-to-IR, the registration for SAR and optical images has its specials.
H. Wang +8 more
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Bayesian Repulsive Gaussian Mixture Model
, 2017 We develop a general class of Bayesian repulsive Gaussian mixture models that encourage well-separated clusters, aiming at reducing potentially redundant components produced by independent priors for locations (such as the Dirichlet process).
Xie, Fangzheng, Xu, Yanxun
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Spike sorting with Gaussian mixture models [PDF]
Scientific Reports, 2018 Abstract The shape of extracellularly recorded action potentials is a product of several variables, such as the biophysical and anatomical properties of the neuron and the relative position of the electrode. This allows isolating spikes of different neurons recorded in the same channel into clusters based on waveform features. However,
Souza, Bryan C. +3 more
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Strojniški vestnik – Journal of Mechanical Engineering, 2020 Condition monitoring and fault detection are nowadays popular topic. Different loads, enviroments etc. affect the components and systems differently and can induce the fault and faulty behaviour. Most of the approaches for the fault detection rely on the
Branislav Panić, J. Klemenc, M. Nagode
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