distance function

In this paper, the surface is presented with a parameterized equation or a signed distance function.

The establishment of a point on the plane class contains requirements that point to another member of the distance function.

Then, the algorithm takes the signed orthogonal distance function as the virtual measurement function to update the local maps in detail.

The distance function is used for similarity measure of image feature vector and realizes the matching of feature vector.

It maps original data to kernel space to get a kernel matrix, and utilizes kernel function and L1 norm to minimize the distance function.

Finally, based on the fuzzy set theory, a distance function can measure similarity of color histogram.

dist: The distance function to use.

The analysis of proximities: Multidimensional scaling with an unknown distance function

Pattern Classification by a new Distance Function

Application of distance function model in water quality evaluation of Xinlicheng reservoir

pattern recognition by distance function;

Surface Reconstruction with Parametric Patches Based on Squared Distance Function

The improvement of the fault diagnosis of distance function based on immune systems mechanism

Distance Function Locating Partial Discharge in Single Phase Transformer Winding Based on MTL Model

Application of categorization based on distance function in spam filtering