In a vision system, every task needs that the operators to apply should be « well chosen » and their parameters should be also « well adjusted ». The diversity of operators and the multitude of their parameters constitute a big challenge for users. As it is very difficult to make the « right » choice, lack of a specific rule, many disadvantages appear and affect the computation time and especia...

We focus on the problem of obtaining top-k lists of items from larger itemsets, using human workers for doing comparisons among items. An example application is short-listing a large set of college applications using advanced students as workers. We describe novel efficient techniques and explore their tolerance to adversarial behavior and the tradeoffs among different measures of performance (...

We discuss the interpolation of the electric and magnetic fields within a charge-conserving Particle-In-Cell scheme. The choice of the interpolation procedure for the fields acting on a particle can be constrained by analyzing conservation of the energy and the particle generalized momentum. The better conservative properties are achieved, if the alternating-order form-factor is used for interp...

Introduction: Currently, the cytological analysis of biological fluids, such as peritoneal fluid, is performed by manually cells counting in Fuchs-Rosenthal chamber. However, this method has a number of limitations. Because of these limitations, automatic counters have been evaluated for cell counting in this type of sample in order to make it faster and more reliable test. Objective: The aim o...

In this paper, we present a new data mining algorithm which involves incremental mining for user moving patterns in a mobile computing environment and exploit the mining results to develop data allocation schemes so as to improve the overall performance of a mobile system. First, we propose an algorithm to capture the frequent user moving patterns from a set of log data in a mobile environment....

Modern search engine result pages often contain a mixture of results from structured and unstructured sources. Where such mixtures of structured and unstructured information are called for, the state-of-the-art is to organize complex search engine result pages around entities. Generating such a mixture of entity-oriented results in response to a traditional keyword query raises a number of inte...

This paper presents a new version of Routes Generation Matrix Algorithm, called Routes Generation Matrix Improved Algorithm (RGMIA), for determining routes with optimal travel time in public transport network. The method was implemented and tested on the real public transport network in Warsaw city. This network was completed with walk links and therefore resultant routes are more practical and...

Dimension reduction techniques have been a successful avenue for automatically extracting the “concepts” underlying unstructured data, a task that naturally arises in fields as diverse as information retrieval, image processing, social science, etc. It is surprising how much can be achieved for this task using only the raw data itself, without resorting to any additional knowledge or intelligen...

The paper proposes a technique based on a combined approach of data mining algorithms and linear programming methods for classifying organizational units, such as research centers. We exploit clustering algorithms for grouping information concerning the scientific activity of research centers. We also show that the replacement of an expensive efficiency measurement, based on the solution of lin...

In the software engineering literature it is commonly believed that economies of scale do not occur in case of software Development and Enhancement Projects (D&EP). Their per-unit cost does not decrease but increases with the growth of such projects product size. Thus this is diseconomies of scale that occur in them. The significance of this phenomenon results from the fact that it is commonly ...