Edge state quantization: vector fields in Rindler

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1029-8479

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Edge state quantization: vector fields in Rindler ; volume:2018 ; number:8 ; day:30 ; month:8 ; year:2018 ; pages:1-55 ; date:8.2018
Journal of high energy physics ; 2018, Heft 8 (30.8.2018), 1-55, 8.2018

Creator: Blommaert, Andreas

Contributor: Mertens, Thomas G.
Verschelde, Henri
Zakharov, Valentin I.
SpringerLink (Online service)

DOI: 10.1007/JHEP08(2018)196

URN: urn:nbn:de:101:1-2018102112194921361887

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:33 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Blommaert, Andreas
Mertens, Thomas G.
Verschelde, Henri
Zakharov, Valentin I.
SpringerLink (Online service)

Other Objects (12)

Matrix quantization of gravitational edge modes

Truncation quantization in the edge calculus

Hochschulschrift

DSLVQ : [distinction sensitive learning vector quantization]

Matrix learning in learning vector quantization

Hochschulschrift

Learning vector quantization for proximity data

Matrix adaptation in discriminative vector quantization

Personenakten

Rindler, Paul

Akten

Rindler, Johann

Akten

Rindler, Johann

Hankel matrices for use in Learning Vector Quantization

Optimal vector quantization in terms of Wasserstein distance

Hochschulschrift

Automatic speaker recognition using neural networks and vector quantization

Matrix quantization of gravitational edge modes

Truncation quantization in the edge calculus

Hochschulschrift

DSLVQ : [distinction sensitive learning vector quantization]

Matrix learning in learning vector quantization

Hochschulschrift

Learning vector quantization for proximity data

Matrix adaptation in discriminative vector quantization

Personenakten

Rindler, Paul

Akten

Rindler, Johann

Akten

Rindler, Johann

Hankel matrices for use in Learning Vector Quantization

Optimal vector quantization in terms of Wasserstein distance

Hochschulschrift

Automatic speaker recognition using neural networks and vector quantization

Matrix quantization of gravitational edge modes

Truncation quantization in the edge calculus

Hochschulschrift

DSLVQ : [distinction sensitive learning vector quantization]

Matrix learning in learning vector quantization

Hochschulschrift

Learning vector quantization for proximity data

Matrix adaptation in discriminative vector quantization

Personenakten

Rindler, Paul

Akten

Rindler, Johann

Akten

Rindler, Johann

Hankel matrices for use in Learning Vector Quantization

Optimal vector quantization in terms of Wasserstein distance

Hochschulschrift

Automatic speaker recognition using neural networks and vector quantization

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Edge state quantization: vector fields in Rindler

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Matrix quantization of gravitational edge modes

Truncation quantization in the edge calculus

DSLVQ : [distinction sensitive learning vector quantization]

Matrix learning in learning vector quantization

Learning vector quantization for proximity data

Matrix adaptation in discriminative vector quantization

Rindler, Paul

Rindler, Johann

Rindler, Johann

Hankel matrices for use in Learning Vector Quantization

Optimal vector quantization in terms of Wasserstein distance

Automatic speaker recognition using neural networks and vector quantization

Matrix quantization of gravitational edge modes

Truncation quantization in the edge calculus

DSLVQ : [distinction sensitive learning vector quantization]

Matrix learning in learning vector quantization

Learning vector quantization for proximity data

Matrix adaptation in discriminative vector quantization

Rindler, Paul

Rindler, Johann

Rindler, Johann

Hankel matrices for use in Learning Vector Quantization

Optimal vector quantization in terms of Wasserstein distance

Automatic speaker recognition using neural networks and vector quantization

Matrix quantization of gravitational edge modes

Truncation quantization in the edge calculus

DSLVQ : [distinction sensitive learning vector quantization]

Matrix learning in learning vector quantization

Learning vector quantization for proximity data

Matrix adaptation in discriminative vector quantization

Rindler, Paul

Rindler, Johann

Rindler, Johann

Hankel matrices for use in Learning Vector Quantization

Optimal vector quantization in terms of Wasserstein distance

Automatic speaker recognition using neural networks and vector quantization

Related objects

Reset password