Gradient-based training of Gaussian Mixture Models for High-Dimensional
Streaming Data

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Gradient-based training of Gaussian Mixture Models for High-Dimensional Streaming Data

18 December 2019

Benedikt Pfülb

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Papers citing "Gradient-based training of Gaussian Mixture Models for High-Dimensional Streaming Data"

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Title
A Mapper Algorithm with implicit intervals and its optimization Yuyang Tao Shufei Ge 139 0 0 16 Dec 2024
On GANs and GMMs Eitan Richardson Yair Weiss GAN 172 152 0 31 May 2018
Fruit recognition from images using deep learning H. Muresan Mihai Oltean 67 394 0 02 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,920 0 25 Aug 2017
An Alternative to EM for Gaussian Mixture Models: Batch and Stochastic Riemannian Optimization Reshad Hosseini S. Sra 57 61 0 10 Jun 2017
Guaranteed bounds on the Kullback-Leibler divergence of univariate mixtures using piecewise log-sum-exp inequalities Frank Nielsen Ke Sun 61 81 0 19 Jun 2016
A Fast Incremental Gaussian Mixture Model R. Pinto P. Engel 61 67 0 14 Jun 2015
Learning Mixtures of Gaussians in High Dimensions Rong Ge Qingqing Huang Sham Kakade 128 127 0 02 Mar 2015
Online EM Algorithm for Latent Data Models Olivier Cappé Eric Moulines 147 482 0 27 Dec 2007