Multi-kernel hash learning-based large-scale medical image retrieval method
A medical image, large-scale technology, applied in the field of image processing, can solve the problems of high image dimension, low retrieval speed, large image scale, etc., and achieve the effect of reducing storage space, workload, and storage capacity.
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[0027] In the present invention, a suitable kernel function is selected to combine, and the data is mapped into a high-dimensional data space to solve the problem of linear inseparability.
[0028] Different kernel functions have their own advantages and disadvantages, and the characteristics of different kernel functions are also different, and the performance of the combined kernel functions composed of them will also be different.
[0029] Kernel functions are mainly divided into global kernel functions and local kernel functions. Global kernel functions (such as linear kernel functions) have global characteristics, allowing data points that are far apart to have an influence on the value of the kernel function, while local kernel functions (such as Gaussian kernel functions) have locality, allowing only close distances. The data points have an effect on the value of the kernel function. Combining the respective advantages of different kernel functions, the present inventi...
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