Results 101 to 110 of about 942,483 (302)
Advanced Engineering Materials, EarlyView.Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Gaussian mixture variational autoencoder for collaborative filtering
四川大学学报. 自然科学版, 2023 The collaborative recommendation algorithm based on the Variational Autoencoder (VAE) can help solve the sparsity problem in the recommendation algorithm, but the VAE model’s prior is a single Gaussian distribution, which makes the expression tends to be
LUO Biao, ZHOU Ji-Liu, ZHANG Wei-Hua
doaj +2 more sources
Gaussian-Mixture Neural Networks
Density estimation is crucial to statistical pattern recognition, in both the supervised and unsupervised frameworks. It is still an open problem, due to its intrinsic difficulties and to the many shortcomings of statistical parametric and non-parametric techniques.
Meconcelli, Duccio, Trentin, Edmondo
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Advanced Engineering Materials, EarlyView.Deep‐UV (258 nm) femtosecond pulses enable uniform amorphous silicon writing on Si(100)/(111) with a six‐fold larger fluence amorphization window than NIR methods. Optimized fluence and overlap yield 20–45 nm uniform and continuous amorphous layers. Microscopy shows sharp interfaces, and real‐time reflectivity reveals nanosecond melt–resolidification ...
Wissal Benali +5 more
wiley +1 more source
Model-based clustering of non-Gaussian panel data [PDF]
, 2006 In this paper we propose a model-based method to cluster units within a panel. The underlying model is autoregressive and non-Gaussian, allowing for both skewness and fat tails, and the units are clustered according to their dynamic behaviour and ...
Juárez, Miguel A., Steel, Mark F. J.
core
Adaptive Multi-Camera System for Real Time Object Detection [PDF]
, 2011 In this paper we present an adaptive multi-camera system for real time object detection able to efficiently adjust the computational requirements of video processing blocks to the available processing power and the activity of the scene.
Camplani, Massimo +4 more
core +1 more source
IMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODEL
International Journal of Industrial Engineering and Production Research, 2008 Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the
Rahman Farnoosh, Behnam Zarpak
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The power of noisy fermionic quantum computation
New Journal of Physics, 2013 We consider the realization of universal quantum computation through braiding of Majorana fermions supplemented by unprotected preparation of noisy ancillae. It has been shown by Bravyi (2006 Phys. Rev.
Fernando de Melo +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
Discriminant Analysis by Gaussian Mixtures
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1996 SUMMARY Fisher-Rao linear discriminant analysis (LDA) is a valuable tool for multigroup classification. LDA is equivalent to maximum likelihood classification assuming Gaussian distributions for each class. In this paper, we fit Gaussian mixtures to each class to facilitate effective classification in non-normal settings, especially when
Hastie, Trevor, Tibshirani, Robert
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