Solving visual object ambiguities when pointing: an unsupervised learning approach
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1433-3058
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Solving visual object ambiguities when pointing: an unsupervised learning approach ; day:30 ; month:6 ; year:2020 ; pages:1-23
Neural computing & applications ; (30.6.2020), 1-23
- Creator
-
Jirak, Doreen
Biertimpel, David
Kerzel, Matthias
Wermter, Stefan
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s00521-020-05109-w
- URN
-
urn:nbn:de:101:1-2020082919435820679783
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Jirak, Doreen
- Biertimpel, David
- Kerzel, Matthias
- Wermter, Stefan
- SpringerLink (Online service)
Other Objects (12)
Unsupervised Learning of Foreground Object Segmentation
Object center of mass predicts pointing endpoints in virtual reality
Unsupervised object candidate discovery for activity recognition
3D Object Detection based on Unsupervised Depth Estimation
Projection-mapping-based object pointing using a high-frame-rate camera-projector system
3D pointing toolkit
Unsupervised video object segmentation: an affinity and edge learning approach
Torture : moral absolutes and ambiguities
Agglomeration Economies: Ambiguities and Confusions
Breakup reactions and their ambiguities
The Ambiguities of “Sustainable” Berlin
Ambiguities in international internal investigations
Unsupervised Learning of Foreground Object Segmentation
Object center of mass predicts pointing endpoints in virtual reality
Unsupervised object candidate discovery for activity recognition
3D Object Detection based on Unsupervised Depth Estimation
Projection-mapping-based object pointing using a high-frame-rate camera-projector system
3D pointing toolkit
Unsupervised video object segmentation: an affinity and edge learning approach
Torture : moral absolutes and ambiguities
Agglomeration Economies: Ambiguities and Confusions
Breakup reactions and their ambiguities
The Ambiguities of “Sustainable” Berlin
Ambiguities in international internal investigations
Unsupervised Learning of Foreground Object Segmentation
Object center of mass predicts pointing endpoints in virtual reality
Unsupervised object candidate discovery for activity recognition
3D Object Detection based on Unsupervised Depth Estimation
Projection-mapping-based object pointing using a high-frame-rate camera-projector system
3D pointing toolkit
Unsupervised video object segmentation: an affinity and edge learning approach
Torture : moral absolutes and ambiguities
Agglomeration Economies: Ambiguities and Confusions
Breakup reactions and their ambiguities
The Ambiguities of “Sustainable” Berlin