Results 71 to 80 of about 901,615 (325)
Bayesian estimation of the gaussian mixture garch model [PDF]
, 2005 In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions.
Ausín Olivera, María Concepción +1 more
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Reconstruction of electrons with the Gaussian-sum filter in the CMS tracker at LHC
, 2003 The bremsstrahlung energy loss distribution of electrons propagating in matter is highly non Gaussian. Because the Kalman filter relies solely on Gaussian probability density functions, it might not be an optimal reconstruction algorithm for electron ...
+7 more
core +4 more sources
Nonmonotonic Generalization Bias of Gaussian Mixture Models [PDF]
Neural Computation, 2000 Theories of learning and generalization hold that the generalization bias, defined as the difference between the training error and the generalization error, increases on average with the number of adaptive parameters. This article, however, shows that this general tendency is violated for a gaussian mixture model. For temperatures just below the first
Akaho, S., Kappen, H.J.
openaire +4 more sources
IEEE Access, 2020 Customized production, quality variation of raw materials and other factors make industrial processes work in multiple operating modes. In general, complex industrial processes have strong nonlinearity under each operating mode. In this paper, a Gaussian
Peng Tang +4 more
doaj +1 more source
Noise adaptive training for subspace Gaussian mixture models [PDF]
, 2013 Noise adaptive training (NAT) is an effective approach to normalise the environmental distortions in the training data. This paper investigates the model-based NAT scheme using joint uncertainty decoding (JUD) for subspace Gaussian mixture models (SGMMs).
Ghoshal, Arnab, Lu, Liang, Renals, Steve
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Surface Tension Measurement of Ti‐6Al‐4V by Falling Droplet Method in Oxygen‐Free Atmosphere
Advanced Engineering Materials, EarlyView.In this article, the temperature‐dependent surface tension of free falling, oscillating Ti‐6Al‐4V droplets is investigated in both argon and monosilane doped, oxygen‐free atmosphere. Droplet temperature and oscillation are captured with one single high‐speed camera, and the surface tension is calculated with Rayleigh's formula.
Johannes May +9 more
wiley +1 more source
Fine-Grained Image Classification With Gaussian Mixture Layer
IEEE Access, 2018 Fine-grained image classification aims at recognizing different subordinates in one basic-level category, for example, distinguishing species of birds. Compared with basic-level classification, it has both low inter-class and high intra-class variances ...
Jingyun Liang +3 more
doaj +1 more source
Gaussian mixture 3D morphable face model
Pattern Recognition, 2018 A Gaussian Mixture 3DMM (GM-3DMM) which models the global population as a mixture of Gaussian subpopulations.A ESO-based model selection strategy for GM-3DMM fitting.A GM-3DMM-based face recognition framework by fusing multiple experts, which has achieved state-of-the-art result on the Multi-PIE face dataset.A new 3D face dataset, SURREY-JNU ...
Koppen, Paul +6 more
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Advanced Functional Materials, EarlyView.A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer +12 more
wiley +1 more source
Underground target detection algorithm based on improved Gaussian mixture model
Gong-kuang zidonghua, 2021 The monitoring video images of underground coal mine have problems such as poor quality, noisy and being susceptible to sudden changes in illumination.
ZHANG Xiaoyan, GUO Haitao
doaj +1 more source