Boundary detection is a fundamental problem in computer vision. However, boundary detection is difficult as it involves integrating multiple cues (intensity, color, texture) as well as trying to incorporate object class or scene level descriptions to mitigate the ambiguity of the local signal. In this paper we investigate incorporating a priori information into boundary detection. We learn a pr...

This paper presents techniques for analyzing the data dependence structure of a program to determine an efficient task “grain” structure for parallel execution. A graph parsing technique is used to detect potential parallelism in a directed acyclic graph (DAG). The parse identifies graph components which are linear, independent, and primitive. Linear components must be executed serially, while ...

In this article, the problem of hierarchial matrix clusterization is discussed. For this, influence individuals on community was used. The dividing into groups related participants has been solved, an appropriate algorithm for finding most influential agents proposed. Clustering carried out using reducing adjacency a directed graph with nodes representing members social network and edges relati...

This paper considers the parameter identification problems of input nonlinear output-error (IN-OE) systems, that is Hammerstein systems. In order to overcome excessive calculation amount over-parameterization method IN-OE Through applying hierarchial principle and decomposing system into three subsystems with a smaller number parameters, we present key term separation auxiliary model hierarchic...

A vegetation sampling technique is described where the prime measurement is only the listing of the relative order of abundance (rank) of species at a series of sample points and is estimated visually. Such data are appropriate for ordinal methods of statistical analysis. Repeated measurements show that the observer is only a small component of variation in rank values. The analysis of rank dat...

This paper discusses some of the issues related to board level testing. The main interest is focused on the boundary scan technique combined with an on board test controller, and the problems of how complete systems with several boards should be tested in a hierarchial test environment. Test controller design issues are discussed, together with a description of which functionality a test contro...

3 Complex Tasks: problem and solutions 4 3.1 Hierarchial strategy . . . . . . . . . 4 3.1.1 Primitives Arbitrators . . . 4 3.1.2 GP and regulatory genes . . 5 3.2 Incremental strategy . . . . . . . . . 5 3.2.1 Training on a simplified task first . . . . . . . . . . . . . . 5 3.2.2 Training on a part of the task first . . . . . . . . . . . . . . 6 3.2.3 Dynamic fitness functions . . 6 3.2.4 Coev...

The proliferation of epithelial cells lining the small intestinal mucosa may be regulated by microenvironmental signals leading to differentiation of precursor cells in the small intestinal crypts. Proliferation of hematopoietic cells within the hematopoietic microenvironment is known to be regulated by a growing number of glycoprotein growth factors in a hierarchial fashion. We studied the eff...

Although PM was basically created to treat subjective comparisons, given exact values can be converted to Potential Method flow. A new feature of PM is a parameter called FlowNorm which helps to treat problems where each criterion has its own measurement scale. Complex hierarchial structures and problems modelled by decision tables can be handled. Incomplete data, such as incomplete belief, is ...