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Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels.
This paper presents a novel recognition approach in which the component-adaptive color co-occurrence matrices (CACCMs) are designed to characterize color and texture cues in the images, while histogram intersection kernel support vector machines (HIKSVMs) are generalized to the version compatible to color co-occurrence matrix (CCM), called CCM intersection kernel support vector machines (CIKSVMs).
Histogram intersection.
As a similarity measure, we choose histogram intersection.
This function introduces the p-spectrum [16] and is based on the histogram intersection kernel [17].
We use the histogram intersection kernel [17] for constructing the spectrum intersection kernel.
Similar(18)
Although Ahnon et al. [48] have mentioned several dissimilarity measures such as histogram intersections, log-likelihood statistics, and Chi square statistics, they used nearest neighbor classifier in their study.
Histogram of intersection angles between paired SOM series.
It was assumed that the peak value in the bivariate frequency histogram of intersections allowed an estimation of the coordinates −Lβ and Tβ.
In general, histograms of image gradient of unblurred images are similar to each other, and the equation indicates that the intersection of histograms of the reconstructed image and general images becomes large, if the reconstructed image is valid.
CIL is the intersection between the histogram increasing and decreasing cumulative curves.
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