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Bounded multivariate generalized Gaussian mixture model using ICA and IVA
A bounded multivariate generalized Gaussian mixture model with a full covariance matrix is
proposed for modeling data in a bounded support region. For model selection, we propose …
proposed for modeling data in a bounded support region. For model selection, we propose …
Novel approach for ECG separation using adaptive constrained IVABMGGMM
In this paper, we introduce the constrained independent vector analysis integrated with the
bounded multivariate generalized Gaussian mixture model (cIVABMGGMM) to tackle the …
bounded multivariate generalized Gaussian mixture model (cIVABMGGMM) to tackle the …
Multivariate‐bounded Gaussian mixture model with minimum message length criterion for model selection
Bounded support Gaussian mixture model (BGMM) has been proposed for data modelling
as an alternative to unbounded support mixture models for the cases when the data lies in …
as an alternative to unbounded support mixture models for the cases when the data lies in …
Bounded asymmetric gaussian mixture-based hidden markov models
Abstract Hidden Markov models (HMMs) have been widely applied in machine learning to
model diversified and heterogeneous time series data. In this chapter, integration of the …
model diversified and heterogeneous time series data. In this chapter, integration of the …
GMM based low-complexity adaptive machine-learning equalizers for optical fiber communication
The demand for high-speed data transmission has increased rapidly over the past few
years, leading to advanced optical communication techniques. However, most of machine …
years, leading to advanced optical communication techniques. However, most of machine …
Data clustering using variational learning of finite scaled dirichlet mixture models
We introduce a variational Bayesian learning framework for finite Scaled Dirichlet mixture
model. The variational inference estimates the parameters without the computational cost of …
model. The variational inference estimates the parameters without the computational cost of …
Konuşmacının Yaş ve Cinsiyetine Göre Sınıflandırılmasında DVM Çekirdeğinin Etkisi
E Yücesoy - El-Cezeri, 2020 - dergipark.org.tr
Bu çalışmada kısa süreli telefon konuşmalarından konuşmacının yaş ve cinsiyet grubunun
otomatik olarak belirlemesi konusu ele alınmıştır. Çalışmada Mel Frekansı Kepstrum …
otomatik olarak belirlemesi konusu ele alınmıştır. Çalışmada Mel Frekansı Kepstrum …
Mixture-Based Clustering and Hidden Markov Models for Energy Management and Human Activity Recognition: Novel Approaches and Explainable Applications
HGA Al-Bazzaz - 2023 - spectrum.library.concordia.ca
In recent times, the rapid growth of data in various fields of life has created an immense
need for powerful tools to extract useful information from data. This has motivated …
need for powerful tools to extract useful information from data. This has motivated …
Research on Monitoring Authority Management of Intelligent Ship Electromechanical System Based on Soundprints
Y Jiang, Y Tang, W Liang, Y Zhang… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Applying voiceprint technology to the marine field, its robustness is only important, this paper
establishes a voiceprint recognition model based on TDNN-Transformer, which improves its …
establishes a voiceprint recognition model based on TDNN-Transformer, which improves its …
Generative Models Based on the Bounded Asymmetric Gaussian Distribution
Z **an - 2021 - spectrum.library.concordia.ca
The bounded asymmetric Gaussian mixture model (BAGMM) has proved that it generally
performs better than the classical Gaussian mixture model. In this thesis, we investigate the …
performs better than the classical Gaussian mixture model. In this thesis, we investigate the …