On the public citation graph

Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models

0 signed · 64 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ima.22391openalex-snapshot
Bayesian inference framework for bounded generalized Gaussian‐based mixture model and its application to biomedical images classification
inferredcites →https://doi.org/10.1007/11510888_5openalex-snapshot
MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection
inferredcites →https://doi.org/10.1007/11744085_40openalex-snapshot
Scene Classification Via pLSA
inferredcites →https://doi.org/10.1007/978-0-387-38983-7openalex-snapshot
Bayesian Core: A Practical Approach to Computational Bayesian Statistics
inferredcites →https://doi.org/10.1007/978-1-4757-3264-1openalex-snapshot
The Nature of Statistical Learning Theory
inferredcites →https://doi.org/10.1007/978-1-4899-2937-2openalex-snapshot
Symmetric Multivariate and Related Distributions
inferredcites →https://doi.org/10.1007/978-3-319-92058-0_33openalex-snapshot
EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection
inferredcites →https://doi.org/10.1007/978-3-540-45167-9_6openalex-snapshot
Bhattacharyya and Expected Likelihood Kernels
inferredcites →https://doi.org/10.1007/bfb0026683openalex-snapshot
Text categorization with Support Vector Machines: Learning with many relevant features
inferredcites →https://doi.org/10.1007/s00500-018-3244-4openalex-snapshot
Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures
inferredcites →https://doi.org/10.1007/s00500-019-04567-2openalex-snapshot
A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models
inferredcites →https://doi.org/10.1007/s00521-012-1094-zopenalex-snapshot
Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation
inferredcites →https://doi.org/10.1007/s11222-006-8451-7openalex-snapshot
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications
inferredcites →https://doi.org/10.1007/s11222-020-09934-wopenalex-snapshot
Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations
inferredcites →https://doi.org/10.1007/s11263-013-0636-xopenalex-snapshot
Image Classification with the Fisher Vector: Theory and Practice
inferredcites →https://doi.org/10.1016/0047-259x(87)90155-2openalex-snapshot
Multivariate Liouville distributions
inferredcites →https://doi.org/10.1016/j.dsp.2015.02.014openalex-snapshot
Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting
inferredcites →https://doi.org/10.1016/j.eswa.2013.09.030openalex-snapshot
Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection
inferredcites →https://doi.org/10.1016/j.jvcir.2012.08.003openalex-snapshot
Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features
inferredcites →https://doi.org/10.1016/j.patcog.2010.12.010openalex-snapshot
Bayesian hybrid generative discriminative learning based on finite Liouville mixture models
inferredcites →https://doi.org/10.1016/j.patrec.2011.09.037openalex-snapshot
Infinite Liouville mixture models with application to text and texture categorization
inferredcites →https://doi.org/10.1023/a:1011139631724openalex-snapshot
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
inferredcites →https://doi.org/10.1080/01621459.1997.10474045openalex-snapshot
Computing Bayes Factors by Combining Simulation and Asymptotic Approximations
inferredcites →https://doi.org/10.1080/10618600.2000.10474879openalex-snapshot
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
inferredcites →https://doi.org/10.1109/access.2018.2886315openalex-snapshot
Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification
inferredcites →https://doi.org/10.1109/access.2021.3051758openalex-snapshot
A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis
inferredcites →https://doi.org/10.1109/cvpr.2005.16openalex-snapshot
A Bayesian Hierarchical Model for Learning Natural Scene Categories
inferredcites →https://doi.org/10.1109/cvpr.2006.68openalex-snapshot
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
inferredcites →https://doi.org/10.1109/icassp.2007.366913openalex-snapshot
Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models
inferredcites →https://doi.org/10.1109/iccv.2003.1238387openalex-snapshot
An efficient image similarity measure based on approximations of KL-divergence between two gaussian mixtures
inferredcites →https://doi.org/10.1109/icip.2001.958952openalex-snapshot
A novel technique for unsupervised texture segmentation
inferredcites →https://doi.org/10.1109/lsp.2006.870086openalex-snapshot
Support vector machines using GMM supervectors for speaker verification
inferredcites →https://doi.org/10.1109/tnn.2009.2034851openalex-snapshot
A Dirichlet Process Mixture of Generalized Dirichlet Distributions for Proportional Data Modeling
inferredcites →https://doi.org/10.1109/tnnls.2019.2938830openalex-snapshot
Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions
inferredcites →https://doi.org/10.1109/tpami.2006.111openalex-snapshot
Bayesian feature and model selection for Gaussian mixture models
inferredcites →https://doi.org/10.1109/tpami.2006.82openalex-snapshot
Selection of generative models in classification
inferredcites →https://doi.org/10.1109/tpami.2007.70716openalex-snapshot
Scene Classification Using a Hybrid Generative/Discriminative Approach
inferredcites →https://doi.org/10.1145/312624.312647openalex-snapshot
A re-examination of text categorization methods
inferredcites →https://doi.org/10.1214/lnms/1215466757openalex-snapshot
Fundamentals of statistical exponential families with applications in statistical decision theory
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-snapshot
Latent Dirichlet Allocation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4068457openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-030-99142-5_7openalex-snapshot
Online Learning of Inverted Beta-Liouville HMMs for Anomaly Detection in Crowd Scenes
inferred← citeshttps://doi.org/10.1007/978-3-031-67192-0_26openalex-snapshot
Synergizing Statistical Techniques and Database Integration for Advanced Object Detection in Computer Vision
inferred← citeshttps://doi.org/10.1007/978-3-031-67195-1_43openalex-snapshot
Application of Bayesian Theorem in the Classification of Electrical Circuits Using YOLOv8
inferred← citeshttps://doi.org/10.1007/s10479-025-06693-7openalex-snapshot
Hierarchical mixtures of Unigram models for short text clustering: the role of Beta-Liouville priors
inferred← citeshttps://doi.org/10.1007/s11042-023-14666-wopenalex-snapshot
Expectation propagation learning of finite and infinite Gamma mixture models and its applications
inferred← citeshttps://doi.org/10.1007/s43069-025-00587-xopenalex-snapshot
Review of Bayesian Approaches for Structural Integrity Assessment and Damage Identification
inferred← citeshttps://doi.org/10.1007/s44163-025-00771-2openalex-snapshot
Leveraging Bayesian models to classify myths and facts in child development
inferred← citeshttps://doi.org/10.1016/bs.mim.2024.11.002openalex-snapshot
Artificial intelligence (AI) implementation in the food industry as a promising tool for protecting food from microbes
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.103835openalex-snapshot
An evidence accumulation based block diagonal cluster model for intent recognition from EEG
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108600openalex-snapshot
DFF-U-NET: Deep features fusion u-net for bone marrow cells classification using advanced feature selection techniques
inferred← citeshttps://doi.org/10.1080/01969722.2022.2062850openalex-snapshot
Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications
inferred← citeshttps://doi.org/10.1109/icecet58911.2023.10389521openalex-snapshot
Usage of Machine Learning and Monte Carlo Method as Probabilistic Hybrid Tool to Predict Next Pandemic
inferred← citeshttps://doi.org/10.1155/2021/4954854openalex-snapshot
Towards the Segmentation and Classification of White Blood Cell Cancer Using Hybrid Mask-Recurrent Neural Network and Transfer Learning
inferred← citeshttps://doi.org/10.1155/2022/5913905openalex-snapshot
Segmentation and Classification of White Blood Cells Using the UNet
inferred← citeshttps://doi.org/10.1515/nleng-2022-0012openalex-snapshot
Multi-objective optimization design of steel structure building energy consumption simulation based on genetic algorithm
inferred← citeshttps://doi.org/10.32604/cmc.2022.022959openalex-snapshot
Effective Frameworks Based on Infinite Mixture Model for Real-World Applications
inferred← citeshttps://doi.org/10.32604/iasc.2023.031442openalex-snapshot
Data Mining Approach Based on Hierarchical Gaussian Mixture Representation Model
inferred← citeshttps://doi.org/10.3389/fpubh.2021.816226openalex-snapshot
An Artificial Intelligence Approach Toward Food Spoilage Detection and Analysis
inferred← citeshttps://doi.org/10.3390/app11135798openalex-snapshot
Nonparametric Bayesian Learning of Infinite Multivariate Generalized Normal Mixture Models and Its Applications
inferred← citeshttps://doi.org/10.3390/rs13152991openalex-snapshot
Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions
inferred← citeshttps://doi.org/10.3390/s22010186openalex-snapshot
Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures
inferred← citeshttps://doi.org/10.47738/ijaim.v3i3.57openalex-snapshot
Formulation and Implementation of a Bayesian Network-Based Model
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.