Solving visual object ambiguities when pointing: an unsupervised learning approach
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1433-3058
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
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
- Urheber
-
Jirak, Doreen
Biertimpel, David
Kerzel, Matthias
Wermter, Stefan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s00521-020-05109-w
- URN
-
urn:nbn:de:101:1-2020082919435820679783
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:00 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
- Jirak, Doreen
- Biertimpel, David
- Kerzel, Matthias
- Wermter, Stefan
- SpringerLink (Online service)
Ähnliche Objekte (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
The Ambiguities of “Sustainable” Berlin
Breakup reactions and their ambiguities
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
The Ambiguities of “Sustainable” Berlin
Breakup reactions and their ambiguities
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
The Ambiguities of “Sustainable” Berlin
Breakup reactions and their ambiguities