Now showing items 1-7 of 7

    • Aggregate profile clustering for streaming analytics 

      Abbasoğlu, M. A.; Gedk, B.; Ferhatosmanoğu H. (Oxford University Press, 2015)
      Many analytic applications require analyzing user interaction data. In particular, such data can be aggregated over a window to build user activity profiles. Clustering such aggregate profiles is useful for grouping together ...
    • Aggregate profile clustering for telco analytics 

      Abbasoğlu, M.A.; Gedik, B.; Ferhatosmanoğlu H. (2013)
      Many telco analytics require maintaining call profiles based on recent customer call patterns. Such call profiles are typically organized as aggregations computed at different time scales over the recent customer interactions. ...
    • Discriminative fine-grained mixing for adaptive compression of data streams 

      Gedik, B. (Institute of Electrical and Electronics Engineers, 2014)
      This paper introduces an adaptive compression algorithm for transfer of data streams across operators in stream processing systems. The algorithm is adaptive in the sense that it can adjust the amount of compression applied ...
    • Expectation maximization based matching pursuit 

      Gurbuz, A.C.; Pilanci, M.; Arikan, O. (2012)
      A novel expectation maximization based matching pursuit (EMMP) algorithm is presented. The method uses the measurements as the incomplete data and obtain the complete data which corresponds to the sparse solution using an ...
    • Learning-based compressive MRI 

      Gözcü, B.; Mahabadi, R. K.; Li, Y. H.; Ilıcak, E.; Çukur, T.; Scarlett, J.; Cevher, V. (Institute of Electrical and Electronics Engineers, 2018)
      In the area of magnetic resonance imaging (MRI), an extensive range of non-linear reconstruction algorithms has been proposed which can be used with general Fourier subsampling patterns. However, the design of these ...
    • A tabu search algorithm for sparse placement of wavelength converters in optical networks 

      Sengezer, N.; Karasan, E. (Springer, 2004)
      In this paper, we study the problem of placing limited number of wavelength converting nodes in a multi-fiber network with static traffic demands and propose a tabu search based heuristic algorithm. The objective of the ...
    • TSCP: A tabu search algorithm for wavelength converting node placement in WDM optical networks 

      Sengezer, N.; Karasan, E. (2005)
      Sparse wavelength conversion can increase the performance of all-optical wavelength division multiplexing (WDM) networks signi cantly by relaxing the wavelength continuity constraint. In this paper, we study the wavelength ...