Bayesian analysis on missing visual information and object complexity on visual search for object orientation and object identity
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Bayesian analysis on missing visual information and object complexity on visual search for object orientation and object identity ; day:22 ; month:5 ; year:2024 ; pages:1-14
Attention, perception, & psychophysics ; (22.5.2024), 1-14
- Creator
-
Nguyen, Rachel T. T.
Peterson, Matthew S.
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.3758/s13414-024-02901-x
- URN
-
urn:nbn:de:101:1-2408011357556.334843635310
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 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
- Nguyen, Rachel T. T.
- Peterson, Matthew S.
- SpringerLink (Online service)
Other Objects (12)
The structure of visual object recognition
Object orientation in Z
From object modelling to advanced visual communication
Bottom-up object segmentation for visual recognition
Visual object class recognition using local descriptions
Visual Reinforcement Learning for Dynamic Object Detection
Bottom-up Object Segmentation for Visual Recognition
Object-based attention requires monocular visual pathways
Visual Object Tracking in First Person Vision
Object-based selection in visual working memory
Cortical plasticity of audio–visual object representations
On object specificity
The structure of visual object recognition
Object orientation in Z
From object modelling to advanced visual communication
Bottom-up object segmentation for visual recognition
Visual object class recognition using local descriptions
Visual Reinforcement Learning for Dynamic Object Detection
Bottom-up Object Segmentation for Visual Recognition
Object-based attention requires monocular visual pathways
Visual Object Tracking in First Person Vision
Object-based selection in visual working memory
Cortical plasticity of audio–visual object representations
On object specificity
The structure of visual object recognition
Object orientation in Z
From object modelling to advanced visual communication
Bottom-up object segmentation for visual recognition
Visual object class recognition using local descriptions
Visual Reinforcement Learning for Dynamic Object Detection
Bottom-up Object Segmentation for Visual Recognition
Object-based attention requires monocular visual pathways
Visual Object Tracking in First Person Vision
Object-based selection in visual working memory
Cortical plasticity of audio–visual object representations