heat map of the correlation coefficient matrix Search Results


matlab saliencytoolbox  (MathWorks Inc)
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MathWorks Inc matlab saliencytoolbox
a Example of Congruent condition and associated heat map. Intensity bar on the left indicates saliency values. Hot colors represent higher saliency values. The face region is the ‘winner-take-all’ salient area in the Congruent condition. b Example of Incongruent condition and associated heat map. The ‘winner-take-all’ salient region is not the face in this condition. All heat maps derived from MATLAB <t>SaliencyToolbox</t> (Walther and Koch 2006)
Matlab Saliencytoolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


a Example of Congruent condition and associated heat map. Intensity bar on the left indicates saliency values. Hot colors represent higher saliency values. The face region is the ‘winner-take-all’ salient area in the Congruent condition. b Example of Incongruent condition and associated heat map. The ‘winner-take-all’ salient region is not the face in this condition. All heat maps derived from MATLAB SaliencyToolbox (Walther and Koch 2006)

Journal: Journal of autism and developmental disorders

Article Title: Bottom-Up Attention Orienting in Young Children with Autism

doi: 10.1007/s10803-013-1925-5

Figure Lengend Snippet: a Example of Congruent condition and associated heat map. Intensity bar on the left indicates saliency values. Hot colors represent higher saliency values. The face region is the ‘winner-take-all’ salient area in the Congruent condition. b Example of Incongruent condition and associated heat map. The ‘winner-take-all’ salient region is not the face in this condition. All heat maps derived from MATLAB SaliencyToolbox (Walther and Koch 2006)

Article Snippet: All heat maps derived from MATLAB SaliencyToolbox ( Walther and Koch 2006 ) Beta Coefficients First, a down-sampled 16 × 25 region matrix grid for each image was calculated ( ).

Techniques: Derivative Assay

a Input image with superimposed 16 × 25 matrix grid. b Individual feature maps. Hotter colors represent locations that differ from their neighbors along each intensity, orientation, or color dimension. Values were extracted from the Saliency Toolbox for each location in the 16 × 25 matrix grid per feature map. These were used as predictors to derive beta coefficients for each individual subject’s data, illustrated in (c)

Journal: Journal of autism and developmental disorders

Article Title: Bottom-Up Attention Orienting in Young Children with Autism

doi: 10.1007/s10803-013-1925-5

Figure Lengend Snippet: a Input image with superimposed 16 × 25 matrix grid. b Individual feature maps. Hotter colors represent locations that differ from their neighbors along each intensity, orientation, or color dimension. Values were extracted from the Saliency Toolbox for each location in the 16 × 25 matrix grid per feature map. These were used as predictors to derive beta coefficients for each individual subject’s data, illustrated in (c)

Article Snippet: All heat maps derived from MATLAB SaliencyToolbox ( Walther and Koch 2006 ) Beta Coefficients First, a down-sampled 16 × 25 region matrix grid for each image was calculated ( ).

Techniques:

Beta coefficients for the total trial durations in the face present analysis by group for both congruent and incongruent conditions

Journal: Journal of autism and developmental disorders

Article Title: Bottom-Up Attention Orienting in Young Children with Autism

doi: 10.1007/s10803-013-1925-5

Figure Lengend Snippet: Beta coefficients for the total trial durations in the face present analysis by group for both congruent and incongruent conditions

Article Snippet: All heat maps derived from MATLAB SaliencyToolbox ( Walther and Koch 2006 ) Beta Coefficients First, a down-sampled 16 × 25 region matrix grid for each image was calculated ( ).

Techniques:

Saliency map beta coefficient data with faces absent from the matrix prior to individual subject regressions

Journal: Journal of autism and developmental disorders

Article Title: Bottom-Up Attention Orienting in Young Children with Autism

doi: 10.1007/s10803-013-1925-5

Figure Lengend Snippet: Saliency map beta coefficient data with faces absent from the matrix prior to individual subject regressions

Article Snippet: All heat maps derived from MATLAB SaliencyToolbox ( Walther and Koch 2006 ) Beta Coefficients First, a down-sampled 16 × 25 region matrix grid for each image was calculated ( ).

Techniques: