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  Active Information Retrieval in Scene Perception and Object Learning

Chuang, L. (2012). Active Information Retrieval in Scene Perception and Object Learning. Talk presented at Department of Cognitive Neuroscience: Duke-NUS Graduate Medical School. Singapore.

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 Urheber:
Chuang, L1, Autor           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Zusammenfassung: We pick out task-relevant information from the visual scene by moving our eyes and confidently manipulate our near-environment to achieve our goals. A better understanding of human behavior can be achieved by adopting this perspective. That is, humans are active (not passive observers). In my talk, I will address how we characterize natural information-seeking behavior in human participants in two context: a) scene processing, b) object learning. The first addresses how unrestrained gaze behavior can be characterized in terms of the information that is available in the scene. Here, I will explain why and how we eschew pure bottom-up procedures of using low-level image statistics to predict gaze movements. Next, I will discuss how we select which views of unfamiliar objects to learn, when we are free to manipulate them in 3D.

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 Datum: 2012-11
 Publikationsstatus: Erschienen
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 Identifikatoren: BibTex Citekey: Chuang2012
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Titel: Department of Cognitive Neuroscience: Duke-NUS Graduate Medical School
Veranstaltungsort: Singapore
Start-/Enddatum: -

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