Now showing items 1-20 of 43

    • Adaptive decision fusion based cooperative spectrum sensing for cognitive radio systems 

      Töreyin, B. U.; Yarkan S.; Qaraqe, K. A.; Çetin, A. E. (2011)
      In this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful ...
    • An algorithm based on facial decomposition for finding the efficient set in multiple objective linear programming 

      Sayın, S. (Elsevier, 1996)
      We propose a method for finding the efficient set of a multiple objective linear program based on the well-known facial decomposition of the efficient set. The method incorporates a simple linear programming test that ...
    • Algorithms for Layout of Disconnected Graphs 

      Dogrusoz, U. (2000)
      We present efficient algorithms for the layout of disconnected objects in a graph (isolated nodes and components) for a specified aspect ratio. These linear and near-linear algorithms are based on alternate-bisection and ...
    • Atomic strings of group IV, III-V, and II-VI elements 

      Tongay, S.; Durgun, E.; Ciraci, S. (American Institute of Physics, 2004)
      A systematic first-principles study of atomic strings made by group IV, III-V, and II-VI elements has revealed interesting mechanical, electronic, and transport properties. The double bond structure underlies their unusual ...
    • Automatic detection of geospatial objects using multiple hierarchical segmentations 

      Akçay, H. G.; Aksoy, S. (Institute of Electrical and Electronics Engineers, 2008-07)
      The object-based analysis of remotely sensed imagery provides valuable spatial and structural information that is complementary to pixel-based spectral information in classification. In this paper, we present novel methods ...
    • Denoising using projections onto the epigraph set of convex cost functions 

      Tofighi, M.; Kose, K.; Cetin, A.E. (Institute of Electrical and Electronics Engineers Inc., 2014)
      A new denoising algorithm based on orthogonal projections onto the epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and feasibility sets ...
    • Distance-based classification methods 

      Ekin, O.; Hammer, P. L.; Kogan, A.; Winter, P. (Taylor & Francis, 1999)
      Given a set of points in a Euclidean space, and a partitioning of this 'training set' into two or more subsets ('classes'), we consider the problem of identifying a 'reasonable' assignment of another point in the Euclidean ...
    • A distributed positioning algorithm for cooperative active and passive sensors 

      Gholami, M.R.; Gezici, S.; Rydström, M.; Ström, E.G. (2010)
      The problem of positioning a target node is studied for wireless sensor networks with cooperative active and passive sensors. Two-way time-of-arrival and time-difference-of-arrival measurements made by both active and ...
    • Entropy functional based adaptive decision fusion framework 

      Günay, O.; Töreyin, B. U.; Köse K.; Çetin, A. E. (2012)
      In this paper, an entropy functional based online adaptive decision fusion framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists ...
    • ERP source reconstruction by using Particle Swarm Optimization 

      Alp, Y.K.; Arikan, O.; Karakas, S. (2009)
      Localization of the sources of Event Related Potentials (ERP) is a challenging inverse problem, especially to resolve sources of neural activity occurring simultaneously. By using an effective dipole source model, we propose ...
    • An experimental setup for performance analysis of an online adaptive cooperative spectrum sensing scheme for both in-phase and quadrature branches 

      Yarkan, S.; Qaraqe, K.A.; Töreyin, B.U.; Çetin, A.E. (2011)
      Spectrum sensing is one of the most essential characteristics of cognitive radios (CRs). Robustness and adaptation to varying wireless propagation scenarios without compromising the sensing accuracy are desirable features ...
    • An experimental validation of an online adaptive cooperation scheme for spectrum sensing 

      Yarkan S.; Töreyin, B. U.; Qaraqe, K. A.; Çetin, A. E. (2011)
      Cooperative spectrum sensing methods in the literature assume a static communication scenario with fixed channel and propagation environment characteristics. In order to maintain the level of sensing reliability and ...
    • Filtered Variation method for denoising and sparse signal processing 

      Kose, K.; Cevher V.; Cetin, A.E. (2012)
      We propose a new framework, called Filtered Variation (FV), for denoising and sparse signal processing applications. These problems are inherently ill-posed. Hence, we provide regularization to overcome this challenge by ...
    • Finding faces in news photos using both face and name information 

      Ozkan, D.; Duygulu P. (2006)
      We propose a method to associate names and faces for querying people in large news photo collections. On the assumption that a person's face is likely to appear when his/her name is mentioned in the caption, first all the ...
    • Hypersolver: a graphical tool for commonsense set theory 

      Pakkan, M.; Akman, V. (Elsevier, 1995)
      This paper investigates an alternative set theory (due to Aczel) called the Hyperset Theory. Aczel uses a graphical representation for sets and thereby allows the representation of non-well-founded sets. A program, called ...
    • Improved graph-entropy bound for perfect hashing 

      Arikan, E. (IEEE (Institute of Electrical and Electronics Engineers), 1994)
      We give an improved graph-entropy bound on the size of families of perfect hash functions. Examples are given illustrating that the new bound improves previous bounds in several instances.
    • Inducing translation templates with type constraints 

      Cicekli, I. (Springer, 2005)
      This paper presents a generalization technique that induces translation templates from a given set of translation examples by replacing differing parts in the examples with typed variables. Since the type of each variable ...
    • Issues in commonsense set theory 

      Pakkan, M.; Akman, V. (Springer/Kluwer Academic Publishers, 1994)
      The success of set theory as a foundation for mathematics inspires its use in artificial intelligence, particularly in commonsense reasoning. In this survey, we briefly review classical set theory from an AI perspective, ...
    • Language evolution and information theory 

      Ahlswede, R.; Arikan, E.; Bäumer L.; Deppe, C. (2004)
      The use of Nowak's model to study the language evolution and to settle a conjecture by Nowak was discussed. These models explained the ways by which natural selection can lead to the gradual emergence of human language. ...
    • Lattice dynamics and elastic properties of lanthanum monopnictides 

      Gökoǧlu G.; Erkişi, A. (2008)
      In this study, first principles calculation results of the second order elastic constants and lattice dynamics of two lanthanum monopnictides, LaN and LaBi, which crystallize in rock-salt structure (B1 phase), are presented. ...