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    Active selection of clustering constraints: A sequential approach

    , Article Pattern Recognition ; Vol. 47, issue. 3 , 2014 , pp. 1443-1458 ; ISSN: 00313203 Abin, A. A ; Beigy, H ; Sharif University of Technology
    Abstract
    This paper examines active selection of clustering constraints, which has become a topic of significant interest in constrained clustering. Active selection of clustering constraints, which is known as minimizing the cost of acquiring constraints, also includes quantifying utility of a given constraint set. A sequential method is proposed in this paper to select the most beneficial set of constraints actively. The proposed method uses information of boundary points and transition regions extracted by data description methods to introduce a utility measure for constraints. Since previously selected constraints affect the utility of remaining candidate constraints, a method is proposed to... 

    Optimal sensor placement for multi-source AOA localisation with distance-dependent noise model

    , Article IET Radar, Sonar and Navigation ; Volume 13, Issue 6 , 2019 , Pages 881-891 ; 17518784 (ISSN) Hamdollahzadeh, M ; Amiri, R ; Behnia, F ; Sharif University of Technology
    Institution of Engineering and Technology  2019
    Abstract
    In this study, the optimal sensor placement problem for multi-source angle of arrival localisation is investigated. The authors adopt the A-optimality criterion, maximising the trace of Fisher information matrix, to determine the optimal sensor-target geometry under distance-dependent Gaussian noise model. A recursive representation of the Cramer-Rao lower bound is derived to recast the sensor placement problem into a sequential method, obtaining the optimal sensor geometries in a step by step manner. Note that the state-of-the-art methods are highly sensitive to the source location changes such that they should be relocated by any later changes in target geometries, which is practically... 

    Optimal sensor placement for multi-source AOA localisation with distance-dependent noise model

    , Article IET Radar, Sonar and Navigation ; Volume 13, Issue 6 , 2019 , Pages 881-891 ; 17518784 (ISSN) Hamdollahzadeh, M ; Amiri, R ; Behnia, F ; Sharif University of Technology
    Institution of Engineering and Technology  2019
    Abstract
    In this study, the optimal sensor placement problem for multi-source angle of arrival localisation is investigated. The authors adopt the A-optimality criterion, maximising the trace of Fisher information matrix, to determine the optimal sensor-target geometry under distance-dependent Gaussian noise model. A recursive representation of the Cramer-Rao lower bound is derived to recast the sensor placement problem into a sequential method, obtaining the optimal sensor geometries in a step by step manner. Note that the state-of-the-art methods are highly sensitive to the source location changes such that they should be relocated by any later changes in target geometries, which is practically...