Speaker Recognition based on GMM
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Updated
Sep 9, 2016 - MATLAB
Speaker Recognition based on GMM
Implemented Gaussian Mixture Models (GMM) for image color segmentation.
Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
Fast explication of Gaussian Mixture model for clustering
Implementation of EM algorithm for the Gaussian mixture model.
Suite for human/nonhuman binary classification problem using MOG, CNN with VIRAT2.0-based dataset
Library and hand-made clustering algorithms are implemented in this project
The R code sets for "Inverse Gaussian quadrature and finite normal-mixture approximation of the generalized hyperbolic distribution"
Codes for simulation studies to examine the performance of the EM algorithm and its modifications Classification EM and Stochastic EM for Gaussian mixture and a mixture of Markov chains.
A machine learning clustering model for customer segmentation to define marketing strategy.
Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.
Differential Evolution Clustering
Unsupervised Learning: Mixture of Balls With Different Volumes.
Detecting stock market phases using a Gaussian mixture model.
Algorithms proposed in the following paper: G. Oliveira, L. L. Minku and A. L. I. Oliveira, "Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach," in IEEE Transactions on Knowledge and Data Engineering, 2021. doi: 10.1109/TKDE.2021.3099690.
Code and data for "Superclass-class conditional Gaussian mixture model for learning fine-grained embeddings" @ ICLR2022
Synthetic Data Generation (SDG) by Gaussian Mixture Model (GMM) Distribution
A Cython Machine Learning library dedicated to Hidden Markov Models
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
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