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On the determination of epsilon during discriminative GMM training
(2010-12-01)
Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, ε, uses to be defined experimentally. ...
Parallel implementation of Expectation-Maximisation algorithm for the training of Gaussian Mixture Models
(Science Publications, 2016)
On the determination of epsilon during discriminative GMM training
(2010-12-01)
Discriminative training of Gaussian Mixture Models (GMMs) for speech or speaker recognition purposes is usually based on the gradient descent method, in which the iteration step-size, ε, uses to be defined experimentally. ...
Probabilistic machine learning for detection of tightening torque in bolted joints
(2022-01-01)
Observing the loss of tightening torque using modal parameters is challenging due to the variability and nonlinear effects in bolted joints. Thus, this paper proposes a combined application of two probabilistic machine ...
Spatio-temporal probabilistic modeling based on Gaussian mixture models and neural gas theory for prediction of criminal activity
(Annual Conference of the Prognostics and Health Management Society 2017Annual Conference of the Prognostics and Health Management Society 2017, 2017-08-18)
Criminal risk models are used to assist security forces both in the identification of zones with high of criminal activity for better resource allocation and prediction of future criminal events for the prevention of new ...
Voltage Regulation using Probabilistic and Fuzzy Controlled Dynamic Voltage Restorer for Oil and Gas Industry
In a power distribution system, faults occurring can cause voltage sag that can affect critical loads connected in the power network which can cause serious effects in the oil and gas industry. The objective of this paper ...
Color-based discrimination of color hues in rock paintings through Gaussian mixture models: a case study from Chomache site (Chile)
(2024)
The article explores advanced image processing techniques for pigment discrimination in rock art paintings, emphasizing color separation using RGB (red, green, blue) and LHCUv (Luminance, Hue, Chroma) imagery. It highlights ...
Unsupervised classification for landslide detection from airborne laser scanning
(MDPI, 2019-05)
Landslides are natural disasters that cause extensive environmental, infrastructure and socioeconomic damage worldwide. Since they are difficult to identify, it is imperative to evaluate innovative approaches to detect ...