Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture

Viktor Eisenstadt; Ziegler Arora Hardik; Heike Christoph; Jessica Bielski; Christoph Langenhan; Klaus-Dieter Althoff; Andreas Dengel

Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture

Viktor Eisenstadt, Ziegler Arora Hardik, Heike Christoph, Jessica Bielski, Christoph Langenhan, Klaus-Dieter Althoff, Andreas Dengel

Chair of Architectural Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Education and research in Computer Aided Architectural Design in Europe Conference
Editors	Vesna Stojakovic, Bojan Tepavcevic
Publisher	University of Novi Sad
Volume	1
State	Published - 2021

Publication series

Name	eCAADe
Publisher	University of Novi Sad

Keywords

LOCenter

Cite this

Eisenstadt, V., Arora Hardik, Z., Christoph, H., Bielski, J., Langenhan, C., Althoff, K.-D., & Dengel, A. (2021). Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture. In V. Stojakovic, & B. Tepavcevic (Eds.), Education and research in Computer Aided Architectural Design in Europe Conference (Vol. 1). (eCAADe). University of Novi Sad.

@inproceedings{aebf77dd6c104574936205cbb61565e4,

title = "Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture",

keywords = "LOCenter",

author = "Viktor Eisenstadt and {Arora Hardik}, Ziegler and Heike Christoph and Jessica Bielski and Christoph Langenhan and Klaus-Dieter Althoff and Andreas Dengel",

year = "2021",

language = "English",

volume = "1",

series = "eCAADe",

publisher = "University of Novi Sad",

editor = "Vesna Stojakovic and Bojan Tepavcevic",

booktitle = "Education and research in Computer Aided Architectural Design in Europe Conference",

address = "Serbia",

}

Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture. / Eisenstadt, Viktor; Arora Hardik, Ziegler; Christoph, Heike et al.
Education and research in Computer Aided Architectural Design in Europe Conference. ed. / Vesna Stojakovic; Bojan Tepavcevic. Vol. 1 University of Novi Sad, 2021. (eCAADe).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture

AU - Eisenstadt, Viktor

AU - Arora Hardik, Ziegler

AU - Christoph, Heike

AU - Bielski, Jessica

AU - Langenhan, Christoph

AU - Althoff, Klaus-Dieter

AU - Dengel, Andreas

PY - 2021

Y1 - 2021

KW - LOCenter

M3 - Conference contribution

VL - 1

T3 - eCAADe

BT - Education and research in Computer Aided Architectural Design in Europe Conference

A2 - Stojakovic, Vesna

A2 - Tepavcevic, Bojan

PB - University of Novi Sad

ER -