Fusion Process

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Jean Dezert - One of the best experts on this subject based on the ideXlab platform.

  • a two step Fusion Process for multi criteria decision applied to natural hazards in mountains
    arXiv: Artificial Intelligence, 2010
    Co-Authors: Jeanmarc Tacnet, Mireille Battonhubert, Jean Dezert
    Abstract:

    Mountain river torrents and snow avalanches generate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and expertise is required for decision and risk management purposes using multi-disciplinary quantitative or qualitative approaches. Expertise is considered as a decision Process based on imperfect information coming from more or less reliable and conflicting sources. A methodology mixing the Analytic Hierarchy Process (AHP), a multi-criteria aid-decision method, and information Fusion using Belief Function Theory is described. Fuzzy Sets and Possibilities theories allow to transform quantitative and qualitative criteria into a common frame of discernment for decision in Dempster-Shafer Theory (DST ) and Dezert-Smarandache Theory (DSmT) contexts. Main issues consist in basic belief assignments elicitation, conflict identification and management, Fusion rule choices, results validation but also in specific needs to make a difference between importance and reliability and uncertainty in the Fusion Process.

Alasdair C Steven - One of the best experts on this subject based on the ideXlab platform.

  • visualization of the two step Fusion Process of the retrovirus avian sarcoma leukosis virus by cryo electron tomography
    Journal of Virology, 2012
    Co-Authors: Giovanni Cardone, Matthew Brecher, Juan Fontana, Dennis C Winkler, Carmen Butan, Judith M White, Alasdair C Steven
    Abstract:

    Retrovirus infection starts with the binding of envelope glycoproteins to host cell receptors. Subsequently, conformational changes in the glycoproteins trigger Fusion of the viral and cellular membranes. Some retroviruses, such as avian sarcoma/leukosis virus (ASLV), employ a two-step mechanism in which receptor binding precedes low-pH activation and Fusion. We used cryo-electron tomography to study virion/receptor/liposome complexes that simulate the interactions of ASLV virions with cells. Binding the soluble receptor at neutral pH resulted in virions capable of binding liposomes tightly enough to alter their curvature. At virion-liposome interfaces, the glycoproteins are ∼3-fold more concentrated than elsewhere in the viral envelope, indicating specific recruitment to these sites. Subtomogram averaging showed that the oblate globular domain in the prehairpin intermediate (presumably the receptor-binding domain) is connected to both the target and the viral membrane by 2.5-nm-long stalks and is partially disordered, compared with its native conformation. Upon lowering the pH, Fusion took place. Fusion is a stochastic Process that, once initiated, must be rapid, as only final (postFusion) products were observed. These Fusion products showed glycoprotein spikes on their surface, with their interiors occupied by patches of dense material but without capsids, implying their disassembly. In addition, some of the products presented a density layer underlying and resolved from the viral membrane, which may represent detachment of the matrix protein to facilitate the Fusion Process.

Jeanmarc Tacnet - One of the best experts on this subject based on the ideXlab platform.

  • a two step Fusion Process for multi criteria decision applied to natural hazards in mountains
    arXiv: Artificial Intelligence, 2010
    Co-Authors: Jeanmarc Tacnet, Mireille Battonhubert, Jean Dezert
    Abstract:

    Mountain river torrents and snow avalanches generate human and material damages with dramatic consequences. Knowledge about natural phenomenona is often lacking and expertise is required for decision and risk management purposes using multi-disciplinary quantitative or qualitative approaches. Expertise is considered as a decision Process based on imperfect information coming from more or less reliable and conflicting sources. A methodology mixing the Analytic Hierarchy Process (AHP), a multi-criteria aid-decision method, and information Fusion using Belief Function Theory is described. Fuzzy Sets and Possibilities theories allow to transform quantitative and qualitative criteria into a common frame of discernment for decision in Dempster-Shafer Theory (DST ) and Dezert-Smarandache Theory (DSmT) contexts. Main issues consist in basic belief assignments elicitation, conflict identification and management, Fusion rule choices, results validation but also in specific needs to make a difference between importance and reliability and uncertainty in the Fusion Process.

Christophe Garcia - One of the best experts on this subject based on the ideXlab platform.

  • Fusion - A heterogeneous descriptor Fusion Process for visual concept identification
    2008
    Co-Authors: Gregoire Lefebvre, Christophe Garcia
    Abstract:

    In this paper, we propose a novel method for robustly classifying visual concepts. In order to achieve this aim, we propose a scheme that relies on Self Organizing Maps (SOM [6]). Heterogeneous local signatures are first extracted from training images and projected into specialized SOM networks. The extracted signatures activate several neural maps producing activation histograms. These activation histograms are then combined into a global Fusion Process in order to build our final image representation. This Fusion scheme is generic and shows promising results for automatic image classification and objectionable image filtering.

  • A heterogeneous descriptor Fusion Process for visual concept identification
    2008 11th International Conference on Information Fusion, 2008
    Co-Authors: Gregoire Lefebvre, Christophe Garcia
    Abstract:

    In this paper, we propose a novel method for robustly classifying visual concepts. In order to achieve this aim, we propose a scheme that relies on Self Organizing Maps (SOM [6]). Heterogeneous local signatures are first extracted from training images and projected into specialized SOM networks. The extracted signatures activate several neural maps producing activation histograms. These activation histograms are then combined into a global Fusion Process in order to build our final image representation. This Fusion scheme is generic and shows promising results for automatic image classification and objectionable image filtering.

Giovanni Cardone - One of the best experts on this subject based on the ideXlab platform.

  • visualization of the two step Fusion Process of the retrovirus avian sarcoma leukosis virus by cryo electron tomography
    Journal of Virology, 2012
    Co-Authors: Giovanni Cardone, Matthew Brecher, Juan Fontana, Dennis C Winkler, Carmen Butan, Judith M White, Alasdair C Steven
    Abstract:

    Retrovirus infection starts with the binding of envelope glycoproteins to host cell receptors. Subsequently, conformational changes in the glycoproteins trigger Fusion of the viral and cellular membranes. Some retroviruses, such as avian sarcoma/leukosis virus (ASLV), employ a two-step mechanism in which receptor binding precedes low-pH activation and Fusion. We used cryo-electron tomography to study virion/receptor/liposome complexes that simulate the interactions of ASLV virions with cells. Binding the soluble receptor at neutral pH resulted in virions capable of binding liposomes tightly enough to alter their curvature. At virion-liposome interfaces, the glycoproteins are ∼3-fold more concentrated than elsewhere in the viral envelope, indicating specific recruitment to these sites. Subtomogram averaging showed that the oblate globular domain in the prehairpin intermediate (presumably the receptor-binding domain) is connected to both the target and the viral membrane by 2.5-nm-long stalks and is partially disordered, compared with its native conformation. Upon lowering the pH, Fusion took place. Fusion is a stochastic Process that, once initiated, must be rapid, as only final (postFusion) products were observed. These Fusion products showed glycoprotein spikes on their surface, with their interiors occupied by patches of dense material but without capsids, implying their disassembly. In addition, some of the products presented a density layer underlying and resolved from the viral membrane, which may represent detachment of the matrix protein to facilitate the Fusion Process.