Recent Submissions

  • 3D Model compression using Connectivity-Guided Adaptive Wavelet Transform built into 2D SPIHT 

    Kose, K.; Cetin, A. E.; Gudukbay, U.; Onural, L. (Elsevier, 2010-01)
    Connectivity-Guided Adaptive Wavelet Transform based mesh compression framework is proposed. The transformation uses the connectivity information of the 3D model to exploit the inter-pixel correlations. Orthographic ...
  • Auto-tuning similarity search algorithms on multi-core architectures 

    Gedik, B. (Springer US, 2013-02-02)
    In recent times, large high-dimensional datasets have become ubiquitous. Video and image repositories, financial, and sensor data are just a few examples of such datasets in practice. Many applications that use such ...
  • Retinal proteins as model systems for membrane protein folding 

    Tastan, O.; Dutta, A.; Booth, P.; Klein Seetharaman, J. (Elsevier, 2014-05)
    Experimental folding studies of membrane proteins are more challenging than water-soluble proteins because of the higher hydrophobicity content of membrane embedded sequences and the need to provide a hydrophobic milieu ...
  • Adaptive grids: an image-based approach to generate navigation meshes 

    Akaydin, A.; Gudukbay, U. (Society of Photo-Optical Instrumentation Engineers, 2013-02-01)
    We propose adaptive grids, an image-based approach for constructing navigation meshes, which are used for path planning. A cellular navigation mesh, called an adaptive grid, is constructed from a top-view range image of a ...
  • A multi-graph approach to complexity management in interactive graph visualization 

    Dogrusoz, U.; Genc, B. (Elsevier, 2006-02)
    In this paper we describe a new, multi-graph approach for development of a comprehensive set of complexity management techniques for interactive graph visualization tools. This framework facilitates efficient implementation ...
  • Object-space parallel polygon rendering on hypercubes 

    Kurc, T. M.; Aykanat, C.; Ozguc, B. (Elsevier, 1998-08)
    This paper presents algorithms for object-space parallel polygon rendering on hypercube-connected multicomputers. A modified scanline z-buffer algorithm is proposed for local rendering phase. The proposed algorithm avoids ...
  • A novel measurement-based approach for modeling and computing interference factors for wireless channels 

    Ulucinar, A. R.; Korpeoglu, I.; Karasan, E. (Springer International Publishing, 2013-01-01)
    Wireless communication technologies divide their available spectrum into pre-defined channels. Some wireless technologies, such as the IEEE 802.11b/g, define their channels in such a way that adjacent channels share the ...
  • A movable jaw model for the human face 

    Gudukbay, U. (Elsevier, 1997-09)
    Although there is a great deal of work on facial animation, there is not much research on the effect of jaw motion on the movement of the face. The complex nature of the jaw bones makes it difficult to implement all the ...
  • Pragmatics in human-computer conversations 

    Saygin, A. P.; Cicekli, I. (Elsevier, 2002-03)
    This paper provides a pragmatic analysis of some human-computer conversations carried out during the past six years within the context of the Loebner Prize Contest, an annual competition in which computers participate in ...
  • Kronecker-based infinite level-dependent QBD processes 

    Dayar, T.; Orhan, M. C. (Applied Probability Trust, 2012-12-05)
    Markovian systems with multiple interacting subsystems under the influence of a control unit are considered. The state spaces of the subsystems are countably infinite, whereas that of the control unit is finite. A recent ...
  • A hybrid classification model for digital pathology using structural and statistical pattern recognition 

    Ozdemir, E.; Gunduz Demir, C. (IEEE, 2013-02)
    Cancer causes deviations in the distribution of cells, leading to changes in biological structures that they form. Correct localization and characterization of these structures are crucial for accurate cancer diagnosis and ...
  • Multilevel segmentation of histopathological images using cooccurance of tissue objects 

    Simsek, A. C.; Tosun, A. B.; Aykanat, C.; Sokmensuer, C.; Gunduz Demir, C. (IEEE, 2012-06)
    This paper presents a new approach for unsupervised segmentation of histopathological tissue images. This approach has two main contributions. First, it introduces a new set of high-level texture features to represent ...
  • Computationalism: still the only game in town 

    Davenport, D. (Springer Netherlands, 2012-02-18)
    Mental representations, Swiatczak (Minds Mach 21:19-32, 2011) argues, are fundamentally biochemical and their operations depend on consciousness; hence the computational theory of mind, based as it is on multiple realisability ...
  • Optimizing decomposition of software architecture for local recovery 

    Sozer, H.; Tekinerdogan, B.; Aksit, M. (Springer US, 2013-11-30)
    The increasing size and complexity of software systems has led to an amplified number of potential failures and as such makes it harder to ensure software reliability. Since it is usually hard to prevent all the failures, ...
  • SCALCE: boosting Sequence Compression Algorithms using Locally Consistent Encoding 

    Hach, F.; Numanagic, I.; Alkan, C.; Sahinalp, S. C. (Oxford University Press, 2012-10)
    Motivation: The high throughput sequencing (HTS) platforms generate unprecedented amounts of data that introduce challenges for the computational infrastructure. Data management, storage and analysis have become major ...
  • Cluster searching strategies for collaborative recommendation systems 

    Sengor Altingovde, I.; Subakan, O. N.; Ulusoy, O. (Elsevier, 2013-05)
    In-memory nearest neighbor computation is a typical collaborative filtering approach for high recommendation accuracy. However, this approach is not scalable given the huge number of customers and items in typical commercial ...
  • Smart markers for watershed-based cell segmentation 

    Koyuncu, C. F.; Arslan, S.; Durmaz, I.; Cetin Atalay, R.; Gunduz Demir, C. (Public Library of Science, 2012-11-12)
    Automated cell imaging systems facilitate fast and reliable analysis of biological events at the cellular level. In these systems, the first step is usually cell segmentation that greatly affects the success of the subsequent ...
  • Scene representation technologies for 3DTV - a survey 

    Alatan, A. Aydin; Yemez, Y.; Gudukbay, U.; Zabulis, X.; Muller, K.; Erdem, C.; Weigel, C.; Smolic, A. (IEEE, 2007-11)
    3-D scene representation is utilized during scene extraction, modeling, transmission and display stages of a 3DTV framework. To this end, different representation technologies are proposed to fulfill the requirements of ...
  • Great ape genetic diversity and population history 

    Prado Martinez, J.; Alkan, C.; Eichler, E. E.; Marques Bonet, T. (Nature Publishing Group, 2013-07-03)
    Most great ape genetic variation remains uncharacterized(1,2); however, its study is critical for understanding population history(3-6), recombination(7), selection(8) and susceptibility to disease(9,10). Here we sequence ...
  • Two novel multiway circuit partitioning algorithms using relaxed locking 

    Dasdan, A.; Aykanat, C. (IEEE, 1997-02)
    All the previous Kernighan–Lin-based (KL-based) circuit partitioning algorithms employ the locking mechanism, which enforces each cell to move exactly once per pass. In this paper, we propose two novel approaches for ...

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