a r t i c l e i n f o a b s t r a c t The Mean-Shift (MS) algorithm and its variants have wide applications in pattern recognition and computer vision tasks such as clustering, segmentation, and tracking. In this paper, we study the dynamics of the algorithm with Gaussian kernels, based on a Generalized MS (GMS) model that includes the standard MS as a special case. First, we prove that the GMS...

we developed an inventory model for decaying items with selling price dependent demand in inflationary environment. deterioration rate is taken as two parameter weibull distribution. shortages in inventory are allowed with partial backlogging. backlogging rate is taken as exponential decreasing function of time. profit maximization technique is used in this study.

Best Chebyshev approximation of real-valued data is treated by approximations obtained from solutions of parameter dependent initial value problems in ordinary diierential equations, in which the initial conditions are speciied. The problem is a modiied form of the problem treated by the authors in 9], 10], and 11]. The xing of the initial condition at t = a requires that approximation be carri...

This paper concerns a problem of robust stabilization of a class of discrete-time systems with norm-bounded parameter uncertainty and unknown constant delay. A new delay-dependent stabilization condition using a memoryless controller is formulated in terms of matrix inequalities. An algorithm involving convex optimization is proposed to design a controller guaranteeing a suboptimal maximal dela...