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Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference

IEEE transaction on neural networks and learning systems, 2013-11, Vol.24 (11), p.1850-1862

2013

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Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection

IEEE transaction on neural networks and learning systems, 2017-09, Vol.28 (9), p.2048-2061

2017

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Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection

Pattern recognition, 2013-10, Vol.46 (10), p.2754-2769

2013

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Variational Learning for Finite Dirichlet Mixture Models and Applications

IEEE transaction on neural networks and learning systems, 2012-05, Vol.23 (5), p.762-774

2012

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Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2524

2021

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Battery heating for lithium-ion batteries based on multi-stage alternative currents

Journal of energy storage, 2020-12, Vol.32, p.101885, Article 101885

2020

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Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images

International journal of applied earth observation and geoinformation, 2021-08, Vol.100, p.102341, Article 102341

2021

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Bioactive nano-selenium antagonizes cobalt nanoparticle-mediated oxidative stress via the Keap1-Nrf2-ARE signaling pathway

Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology, 2022, Vol.24 (1), Article 16

2022

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Centralized Trust-Based In-Band Control for SDN Control Channel

IEEE access, 2020, Vol.8, p.4289-4300

2020

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Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications

Pattern analysis and applications : PAA, 2021-11, Vol.24 (4), p.1731-1744

2021

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Fast algorithm for parallel solving inversion of large scale small matrices based on GPU

The Journal of supercomputing, 2023-11, Vol.79 (16), p.18313-18339

2023

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Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference

IEEE transactions on knowledge and data engineering, 2013-07, Vol.25 (7), p.1670-1685

2013

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Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models

Pattern analysis and applications : PAA, 2022, Vol.25 (2), p.285-304

2022

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Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions

IEEE access, 2019, Vol.7, p.83600-83614

2019

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Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions

Information systems frontiers, 2020-10, Vol.22 (5), p.1085-1093

2020

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Variational learning of finite Dirichlet mixture models using component splitting

Neurocomputing (Amsterdam), 2014-04, Vol.129, p.3-16

2014

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Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications

Multimedia tools and applications, 2014-06, Vol.70 (3), p.1685-1702

2014

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Positive Sequential Data Modeling Using Continuous Hidden Markov Models Based on Inverted Dirichlet Mixtures

IEEE access, 2019, Vol.7, p.172341-172349

2019

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NH3+-Functionalized PAMAM Dendrimers Enhancing Power Conversion Efficiency and Stability of Perovskite Solar Cells

Journal of electronic materials, 2021-11, Vol.50 (11), p.6414-6425

2021

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A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion

Engineering applications of artificial intelligence, 2022-11, Vol.116, p.105362, Article 105362

2022

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Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting

Wireless personal communications, 2021, Vol.119 (2), p.1817-1844

2021

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Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3193-3203

2020

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Combined Improved Dirichlet Models and Deep Learning Models for Road Extraction from Remote Sensing Images

Canadian journal of remote sensing, 2021-05, Vol.47 (3), p.465-484

2021

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Coking kinetics and influence of reaction-regeneration on acidity, activity and deactivation of Zn/HZSM-5 catalyst during methanol aromatization

Journal of energy chemistry, 2015, Vol.24 (1), p.108-118

2015

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Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions

IEEE transactions on pattern analysis and machine intelligence, 2022-12, Vol.44 (12), p.9654-9668

2022

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Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference

Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection

Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection

Variational Learning for Finite Dirichlet Mixture Models and Applications

Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

Battery heating for lithium-ion batteries based on multi-stage alternative currents

Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images

Bioactive nano-selenium antagonizes cobalt nanoparticle-mediated oxidative stress via the Keap1-Nrf2-ARE signaling pathway

Centralized Trust-Based In-Band Control for SDN Control Channel

Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications

Fast algorithm for parallel solving inversion of large scale small matrices based on GPU

Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference

Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models

Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions

Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions

Variational learning of finite Dirichlet mixture models using component splitting

Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications

Positive Sequential Data Modeling Using Continuous Hidden Markov Models Based on Inverted Dirichlet Mixtures

NH3+-Functionalized PAMAM Dendrimers Enhancing Power Conversion Efficiency and Stability of Perovskite Solar Cells

A complex Jensen–Shannon divergence in complex evidence theory with its application in multi-source information fusion

Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting

Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions

Combined Improved Dirichlet Models and Deep Learning Models for Road Extraction from Remote Sensing Images

Coking kinetics and influence of reaction-regeneration on acidity, activity and deactivation of Zn/HZSM-5 catalyst during methanol aromatization

Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions

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