This article has demonstrated that the search window's size in the meanshift algorithm can be changed using robust feature points to solve the problems encountered when tracking an object with a fixed search window size and a color similar to the background.
We do not require any fictitious point to solve the singular problem.
The pole-vaulter's action on his upper and lower hand is concentrated on one middle point to solve the dynamics problem.
The following algorithm applies FOM, GMRES, weighted-FOM, and weighted-GMRES processes to solve the correction Eq. (10) and as a final point to solve the generalized singular-value decomposition problem.
In this article, we study a regularization proximal point algorithm to solve the problem of finding a common fixed point of a finite family of nonexpansive self-mappings in a uniformly convex and uniformly smooth Banach space E.
Sophus Lie [5] used the idea of point transformations to solve the problem on linearization of second-order ordinary differential equations.
Later, Sendeckyj [3] employed the complex-variable function in conjunction with the inverse point method to solve the problem of the screw dislocation near an arbitrary number of circular inclusions.
subset of and every nonexpansive mapping we have One of the central goals in fixed point theory is to solve the problem: which Banach spaces have the (weak) fixed point property?
And at some point someone has to solve the problem of syncing contact information and other data across company platforms.
One is to divide the fracture into many segments and then use the Green's function and the point source function to solve the problem.
