Results 31 to 40 of about 358,991 (308)

Generalised discretisation of continuous-time distributions

The Journal of Engineering, 2020
In this study, the definition of discretisation that was proposed recently for continuous-time distributions is made applicable not only to ordinary functions but to a variety of distributions including weak derivatives such that they could be viewed ...
Shin Kawai, Noriyuki Hori, Noriyuki Hori
doaj   +1 more source

Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom [PDF]

Journal of Biomedical Physics and Engineering
Background: Some voxels may alter the tractography results due to unintentional alteration of noises and other unwanted factors.Objective: This study aimed to investigate the effect of local phase features on tractography results providing data are mixed
Alireza Shirazinodeh, Hadis Faraji, Sam Sharifzadeh Javidi, Amir Homayoun Jafari, Mohammadreza Nazemzadeh, Hamidreza Saligheh Rad   +5 more
doaj   +1 more source

K-L Divergence Based Image Classification and the Application [PDF]

Journal of Systemics, Cybernetics and Informatics, 2021
Image classification is widely used in many fields. Traditional metric learning based classification methods always maximize between-class distances and minimize within-class distances based on features calculated from each individual.
Fuhua Chen, Xuemao Zhang, Guangtai Ding
doaj  

Level III Reliability Design of an Armor Block of Rubble Mound Breakwater Using Probabilistic Model of Wave Height Optimized for the Korean Sea Wave Conditions and Non-Gaussian Wave Slope Distribution

Journal of Marine Science and Engineering, 2021
In this study, a Level III reliability design of an armor block of rubble mound breakwater was developed using the optimized probabilistic wave height model for the Korean marine environment and Van der Meer equation.
Yong Jun Cho
doaj   +1 more source

Distributed Gaussian Processes

, 2015
Copyright © 2015 by the author(s).To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts model for large-scale distributed GP regression. Unlike state-of-the-art sparse GP approximations, the rBCM is conceptually simple and does not rely on inducing or ...
Deisenroth, MP, Ng, JW
openaire   +5 more sources

The multilinear compound Gaussian distribution [PDF]

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
We introduce a novel generalization of the compound Gaussian (CG) (or Gaussian Scale Mixture [1]) distribution which extends the Gaussian component of the CG model to a multilinear distribution. The resulting model, which we call the Multilinear Compound Gaussian (MCG) distribution, subsumes both GSM [1] and the previously developed MICA [3–4 ...
Raghu G. Raj, Alan C. Bovik
openaire   +1 more source

Iterative Temporal Learning and Prediction with the Sparse Online Echo State Gaussian Process [PDF]

, 2012
16/01/14 meb. pre-print version OK to add. statement added.In this work, we contribute the online echo state gaussian process (OESGP), a novel Bayesian-based online method that is capable of iteratively learning complex temporal dynamics and producing ...
Soh, Harold, Harold Soh, Demiris, Yiannis, Yiannis Demiris   +3 more
core   +1 more source

3D Face Reconstruction From Single 2D Image Using Distinctive Features

IEEE Access, 2020
3D face reconstruction is considered to be a useful computer vision tool, though it is difficult to build. This paper proposes a 3D face reconstruction method, which is easy to implement and computationally efficient. It takes a single 2D image as input,
H. M. Rehan Afzal, Suhuai Luo, M. Kamran Afzal, Gopal Chaudhary, Manju Khari, Sathish A. P. Kumar   +5 more
doaj   +1 more source

Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution [PDF]

, 2023
An analytical bias-corrected maximum likelihood estimation procedure and a bootstrap bias-corrected maximum likelihood estimation procedure are proposed for the inverse Gaussian distribution (IGD) to obtain more reliable maximum likelihood estimates ...
Tsai, Tzong-Ru;Xin, H;Fan, Ya-Yen;Lio, YL
core  

The Analysis of WJ Distribution as an Extended Gaussian Function: Case Study

Applied Sciences, 2022
The double exponential WJ distribution has been shown to competently describe extreme events and critical phenomena, while the Gaussian function has celebrated rich applications in many other fields.
Shurong Ge, Junhua Wu
doaj   +1 more source