Linked Life Data

8483704

Source:http://linkedlifedata.com/resource/pubmed/id/8483704

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1993-6-3
pubmed:abstractText
A formal approach to the phenomenon of perceptual grouping by proximity was investigated. Grouping judgments of random dot patterns were made by the CODE algorithm (van Oeffelen & Vos, 1982) and several related algorithms, and these judgments were compared with subjects' grouping judgments for the same stimuli. Each algorithm predicted significantly more subject judgments than would be expected by chance. The more subjects agreed on how a given dot pattern should be grouped, the more successful was the algorithms' ability to match the judgments for that pattern. CODE predicted significantly fewer subject judgments than did some of the other algorithms, largely because of its overemphasis on the extent of interactivity among dots as they are being grouped.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
C
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0031-5117
pubmed:author
pubmed:issnType
Print
pubmed:volume
53
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
403-21
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1993
pubmed:articleTitle
Evaluating a computational model of perceptual grouping by proximity.
pubmed:affiliation
Department of Psychology, University of Illinois, Champaign 61820.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.