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Gaussian counter models for visual identification of briefly presented, mutually confusable single stimuli in pure accuracy tasks
Massimiliano Tamborrino,
Susanne Ditlevsen
,
Bo Markussen
,
Søren Kyllingsbæk
Department of Mathematical Sciences
2
Citations (Scopus)
41
Downloads (Pure)
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Dive into the research topics of 'Gaussian counter models for visual identification of briefly presented, mutually confusable single stimuli in pure accuracy tasks'. Together they form a unique fingerprint.
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Keyphrases
Single Stimulus
100%
Visual Identification
100%
Countermodels
100%
Stimulus Offset
66%
Race Model
66%
Model Selection
33%
Test of Goodness of Fit
33%
Maximum Time
33%
Accumulation Process
33%
Probability Distribution
33%
Continuous Model
33%
Monte Carlo Test
33%
Wiener
33%
Poisson
33%
First Passage Time
33%
Landolt Rings
33%
Visual Stimuli
33%
Close Fit
33%
Computer Science
Classification
100%
Continuous Model
100%
Visual Stimuli
100%
Monte Carlo Test
100%
Psychology
Gaussian Distribution
100%
Probability Distribution
50%
Continuous Model
50%
Model Selection
50%
Agricultural and Biological Sciences
Purity
100%
Classification
50%
Probability Distribution
50%