Herein, we propose a new Markov random field (MRF) image segmentation mode! which aims at combining color and texture features. The model has a multi-layer structure: Each feature has its own layer, called feature lay...
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Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature has its own layer, called feature lay...
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We study the problem of allocating optical bandwidth to sets of communication requests in all–optical networks that utilize Wavelength Division Multiplexing (WDM). WDM technology establishes communication between pai...
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Shared or networked virtual environments are one of the most promising uses of the virtual reality technology. While a lot of research has been done in the area of multi-user virtual environments corresponding to the ...
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ISBN:
(纸本)0769511988
Shared or networked virtual environments are one of the most promising uses of the virtual reality technology. While a lot of research has been done in the area of multi-user virtual environments corresponding to the sharing of events very few research has been done on specific services and functionality. However both the requirements and the kind of the offered services affect significantly the design of a system. In this paper we present the main issues in the design of a platform to support the distant education process using networked virtual environments. We also introduce the term Educational Virtual Environments and their basic requirements. According to these requirements of the educational virtual environments we propose both a suitable architecture and a protocol for the interaction between the components of this architecture.
The problem of routing in congested communication networks was studied. A noncooperative network consisting of a set of m parallel links within a game theoretic framework was considered for analysis. A collection of n...
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ISBN:
(纸本)9781581133493
The problem of routing in congested communication networks was studied. A noncooperative network consisting of a set of m parallel links within a game theoretic framework was considered for analysis. A collection of n network users each employing a mixed strategy to control assigned traffic was assumed. Both uniform and nonuniform link capacities were considered for routing traffic in order to minimize the maximum expected latency over all links.
In this paper we present C2P, a new clustering algorithm for large spatial databases, which exploits spatial access methods for the determination of closest pairs. Several extensions are presented for scalable cluster...
ISBN:
(纸本)1558608044
In this paper we present C2P, a new clustering algorithm for large spatial databases, which exploits spatial access methods for the determination of closest pairs. Several extensions are presented for scalable clustering in large databases that contain clusters of various shapes and outliers. Due to its characteristics, the proposed algorithm attains the advantages of hierarchical clustering and graphtheoretic algorithms providing both efficiency and quality of clustering result. The superiority of C2P is verified both with analytical and experimental results.
In this paper we study the k-station placement problem (k- SP problem, in short) on graphs. This problem has application to efficient multicasting in circuit-switched networks and to space efficient traversals. We sho...
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We study the following Constrained Bipartite Edge Coloring (CBEC) problem: We are given a bipartite graph G(U, V, E) of maximum degree I with n vertices, in which some of the edges have been legally colored with c col...
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The paper describes experiments with a neural network selection that works as a conclusion-making unit of walk-abnormalities diagnosis. The diagnostic interfaces described in this paper provide the user with various t...
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The paper describes experiments with a neural network selection that works as a conclusion-making unit of walk-abnormalities diagnosis. The diagnostic interfaces described in this paper provide the user with various tools for the disease analysis. They are having a pressure and load distribution on the foot, while taking into account the individual characteristics of the patient standing and walking 1, 2, 3. Various visualisation options give the user many aims in putting the diagnosis anyhow, in order to simplify the diagnostic process several methods for the data record filtering have been implemented. The discussed methods of the neural network selection and training show how to avoid difficulties with limited number of available data records, needed for the conclusion algorithms effectiveness improvement.
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