Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-773X
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Gradient-Based Training of Gaussian Mixture Models for High-Dimensional Streaming Data ; volume:53 ; number:6 ; day:17 ; month:8 ; year:2021 ; pages:4331-4348 ; date:12.2021
Neural processing letters ; 53, Heft 6 (17.8.2021), 4331-4348, 12.2021
- Urheber
-
Gepperth, Alexander
Pfülb, Benedikt
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11063-021-10599-3
- URN
-
urn:nbn:de:101:1-2022010918250084280107
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:33 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Gepperth, Alexander
- Pfülb, Benedikt
- SpringerLink (Online service)
Ähnliche Objekte (12)
Variational inference and sparsity in high-dimensional deep Gaussian mixture models
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models
Facets of High-Dimensional Gaussian Polytopes
Parsimonious ultrametric Gaussian mixture models
Spike sorting with Gaussian mixture models
Product of Gaussian Mixture Diffusion Models
Uniform inference in high-dimensional gaussian graphical models
Gaussian mixture model decomposition of multivariate signals
Fitting Gaussian mixture models on incomplete data
Efficient high-dimensional importance sampling in mixture frameworks
A gradient method for high-dimensional BSDEs
Invariant image object recognition using Gaussian mixture densities
Variational inference and sparsity in high-dimensional deep Gaussian mixture models
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models
Facets of High-Dimensional Gaussian Polytopes
Parsimonious ultrametric Gaussian mixture models
Spike sorting with Gaussian mixture models
Product of Gaussian Mixture Diffusion Models
Uniform inference in high-dimensional gaussian graphical models
Gaussian mixture model decomposition of multivariate signals
Fitting Gaussian mixture models on incomplete data
Efficient high-dimensional importance sampling in mixture frameworks
A gradient method for high-dimensional BSDEs
Invariant image object recognition using Gaussian mixture densities
Variational inference and sparsity in high-dimensional deep Gaussian mixture models
Correction to : Variational inference and sparsity in high-dimensional deep Gaussian mixture models
Facets of High-Dimensional Gaussian Polytopes
Parsimonious ultrametric Gaussian mixture models
Spike sorting with Gaussian mixture models
Product of Gaussian Mixture Diffusion Models
Uniform inference in high-dimensional gaussian graphical models
Gaussian mixture model decomposition of multivariate signals
Fitting Gaussian mixture models on incomplete data
Efficient high-dimensional importance sampling in mixture frameworks
A gradient method for high-dimensional BSDEs