We present a multi-level probabilistic relaxation scheme appropriate for image segmentation on the basis of features computed at various resolution levels. At each level, we incorporate contextual information computed from the features in the coarser scale representation of the scene, as well as information from the features computed in the ner scale representation, until a full segmentation is...

BlueSpace is an enterprise software company, based in Austin, Texas, which creates multi-level secure (MLS) end user applications that can span multiple networks at different classification levels. BlueSpace's middleware strategy facilitates rapid application development, infrastructure consolidation and infrastructure neutrality. The continuing growth in the number of networks in the defense a...

Conflict in multi-agent systems is ubiquitous. Research often focuses on the process of resolving conflicts between different agents. We call this the inter-agent conflict resolution process. However, in complex problem solving agents the process of resolving conflicts with other agents impacts local problem solving as well as deals made with other agents. This leads to the need for an intra-ag...

A program called MVSIS has been developed which optimizes multi-level multi-valued networks (MV networks). We describe what such a network is and the capabilities contained in MVSIS. MVSIS is modeled after SIS, which synthesizes binary multi-level networks, but the logic network of MVSIS is such that all variables can be multivalued each with its own range. Included in MVSIS are almost all the ...

This paper discusses two ways to establish the connection between two levels in a multi-level model. The first approach uses normal associations and generalizations under the assumption that the multi levels are represented in one UML and OCL model. The second approach views a middle level model both as a type model and as an instance model and introduces operations to navigate between the type...

Multi-Level Multi-Decision Models for Automatic Speech Recognition is discussed. It is hierarchically organized. Here there are not used the generative grammars for model speech signal synthesis as a feedback in speech recognition process. Instead of the latter significant decisions, but under simplified conditions, at all levels of a speech signal processing hierarchy are introduced. The 3-lev...

Diabetes is a world-wide health problem with 415 millions of people suffering from the disease. Most diabetics are suffering from Type 2 Diabetes, which is preceded by insulin resistance in glucose utilizing tissues, such as adipose, liver, and muscle tissues. Diabetes is diagnosed when the insulin control of the glucose levels fails, which leads to high glucose levels in the blood. To better u...