Related references
Note: Only part of the references are listed.Distributed maximum correntropy linear and nonlinear filters for systems with non-Gaussian noises
Guoqing Wang et al.
SIGNAL PROCESSING (2021)
An Expectation-Maximization Algorithm for the Exponential-Generalized Inverse Gaussian Regression Model with Varying Dispersion and Shape for Modelling the Aggregate Claim Amount
George Tzougas et al.
RISKS (2021)
Weighted likelihood mixture modeling and model-based clustering
Luca Greco et al.
STATISTICS AND COMPUTING (2020)
Adaptive intrusion detection via GA-GOGMM-based pattern learning with fuzzy rough set-based attribute selection
Jinping Liu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Diffusion self-triggered square-root cubature information filter for nonlinear non-Gaussian systems and its application to the optic-electric sensor network
Ye Chen et al.
INFORMATION FUSION (2020)
A novel deep quality-aware CNN for image edge smoothening
Hongpeng Zhu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
On the Mahalanobis Distance Classification Criterion for a Ventricular Septal Defect Diagnosis System
Shuping Sun et al.
IEEE SENSORS JOURNAL (2019)
Heartrate-Dependent Heartwave Biometric Identification With Thresholding-Based GMM-HMM Methodology
Ching Leng Peter Lim et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Adaptive Fuzzy Gaussian Mixture Models for Shape Approximation in Robot Grasping
Huifeng Lin et al.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2019)
Galactic double neutron star total masses and Gaussian mixture model selection
David Keitel
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2019)
GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system
Yakai Lu et al.
ENERGY AND BUILDINGS (2019)
Postpartum depression prediction through pregnancy data analysis for emotion-aware smart systems updates
Mario W. L. Moreira et al.
INFORMATION FUSION (2019)
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
Vicente Garcia et al.
INFORMATION FUSION (2019)
Determination of Bathing Water Quality Using Thermal Images Landsat 8 on the West Coast of Tangier: Preliminary Results
El Khalil Cherif et al.
REMOTE SENSING (2019)
The one-inflated positive Poisson mixture model for use in population size estimation
Ryan T. Godwin
BIOMETRICAL JOURNAL (2019)
k-means as a variational EM approximation of Gaussian mixture models
Joerg Luecke et al.
PATTERN RECOGNITION LETTERS (2019)
FusionGAN: A generative adversarial network for infrared and visible image fusion
Jiayi Ma et al.
INFORMATION FUSION (2019)
Gaussian mixture models for blended photometric redshifts
Daniel M. Jones et al.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY (2019)
Probabilistic assessment of potential leachate leakage from livestock mortality burial pits: A supervised classification approach using a Gaussian mixture model (GMM) fitted to a groundwater quality monitoring dataset
Hyun-Koo Kim et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)
Multiple-Antenna Cooperative Spectrum Sensing Based on the Wavelet Transform and Gaussian Mixture Model
Shunchao Zhang et al.
SENSORS (2019)
Identification and evaluation of operation regulation strategies in district heating substations based on an unsupervised data mining method
Yakai Lu et al.
ENERGY AND BUILDINGS (2019)
Hyperspectral Unmixing with Gaussian Mixture Model and Spatial Group Sparsity
Qiwen Jin et al.
REMOTE SENSING (2019)
An efficient EM algorithm for the mixture of negative binomial models
Chunmao Huang et al.
SECOND INTERNATIONAL CONFERENCE ON PHYSICS, MATHEMATICS AND STATISTICS (2019)
Analysis and Identification of Dermatological Diseases Using Gaussian Mixture Modeling
Chaahat Gupta et al.
IEEE ACCESS (2019)
Spike sorting with Gaussian mixture models
Bryan C. Souza et al.
SCIENTIFIC REPORTS (2019)
Addressing overfitting and underfitting in Gaussian model-based clustering
Jeffrey L. Andrews
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2018)
Condition assessment of cables by pattern recognition of vehicle-induced cable tension ratio
Shunlong Li et al.
ENGINEERING STRUCTURES (2018)
Conditional classifiers and boosted conditional Gaussian mixture model for novelty detection
Reza Mohammadi-Ghazi et al.
PATTERN RECOGNITION (2018)
Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes
Javier Diaz-Rozo et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Bayesian Multiple Extended Target Tracking Using Labeled Random Finite Sets and Splines
Abdullahi Daniyan et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2018)
Improved Bayesian information criterion for mixture model selection
Arash Mehrjou et al.
PATTERN RECOGNITION LETTERS (2016)
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems
Vicente Garcia et al.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2015)
Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems
Jens Kersten
PATTERN RECOGNITION (2014)
An improved EM algorithm for remote sensing classification
Yang HongLei et al.
CHINESE SCIENCE BULLETIN (2013)
Gaussian Mixture Model-based noise reduction in resting state fMRI data
Gaurav Garg et al.
JOURNAL OF NEUROSCIENCE METHODS (2013)
Improved Expectation Maximization Algorithm for Gaussian Mixed Model Using the Kernel Method
Mohd Izhan Mohd Yusoff et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2013)
Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis
Wei Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)
Joint Parsimonious Modeling and Model Order Selection for Multivariate Gaussian Mixtures
Scott C. Markley et al.
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2010)
Order Selection in Finite Mixture Models With a Nonsmooth Penalty
Jiahua Chen et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2008)
On improved EM algorithm and confidence interval construction for incomplete r x c tables
Man-Lai Tang et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2007)
In search of deterministic methods for initializing K-means and Gaussian mixture clustering
Ting Su et al.
INTELLIGENT DATA ANALYSIS (2007)
Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm
HX Wang et al.
PATTERN RECOGNITION LETTERS (2004)