We present a new active contour model in spatiovelocity space which is based on the probability data association lter (PDAF) approach. It employs a directional-based measurement model of image potential and of opticalow along the contour points. The proposed directional approach of measurements is the basis for the velocity-based discrimination between measurements of the object to that of imag...

We study probabilistic on-line simulators for several machine models (or memory structures). The simulators have a more constrained access to data than the virtual machines, but are allowed to use probabilistic means to improve average access time. We show that in many cases coin tosses can not make up for inadequate access.

In this paper we propose an efficient line feature-based 2D object recognition algorithm using a novel entropy correspondence measure (ECM) that encodes the probabilistic similarity between two line feature sets. Since the proposed ECM-based method uses the whole structural information of objects simultaneously for matching, it overcomes the common drawbacks of the conventional techniques that ...

The three-dimensional propagation of electromagnetic waves in a distributed Schottky barrier transmission line is investigated. In one case, we show that the electromagnetic fields are similar to those that were originally obtained by Goubau and Schwering in their development of the beam waveguide. This case can lead to a very low-loss distributed Schottky barrier resonator.

This paperpresents a cumpurative evuluatiun uf different distance metrics and local planners within the context of probabilistic roadmap methods f i r motion planning. Both C-space and Workspace distance metrics and local planners are considered. The study concentrates on cluttered three-dimensional Workspaces typical, e.g., of mechanical designs. Our results include recommendations for selecti...

In order to explore the practical manifestations of the “cognitive synergy” between the PLN (Probabilistic Logic Networks) and ECAN (Economic Attention Network) components of the OpenCog AGI architecture, we explore the behavior of PLN and ECAN operating together on two standard test problems commonly used with Markov Logic Networks (MLN). Our preliminary results suggest that, while PLN can add...

in this paper, we formalize the menger probabilistic normed space as a category in which its objects are the menger probabilistic normed spaces and its morphisms are fuzzy continuous operators. then, we show that the category of probabilistic normed spaces is isomorphicly a subcategory of the category of topological vector spaces. so, we can easily apply the results of topological vector spaces...

Criteria containing a barrier function i.e., an unbounded function at the boundary of the feasible solution domain are frequently encountered in the optimization framework. When an iterative descent method is used, a search along the line supported by the descent direction through the minimization of the underlying scalar function has to be performed at each iteration. Usual line search strateg...