Toplam kayıt 48, listelenen: 36-48

  • An observation based muscle model for simulation of facial expressions 

    Erkoç, Tuğba; Ağdoğan, Didem; Eskil, Mustafa Taner (Elsevier Science Bv, 2018-05)
    This study presents a novel facial muscle model for coding of facial expressions. We derive this model from unintrusive observation of human subjects in the progress of the surprise expression. We use a generic and ...
  • Omnivariate Rule Induction Using a Novel Pairwise Statistical Test 

    Yıldız, Olcay Taner (IEEE Computer Soc, 2013-09)
    Rule learning algorithms, for example, RIPPER, induces univariate rules, that is, a propositional condition in a rule uses only one feature. In this paper, we propose an omnivariate induction of rules where under each ...
  • On the feature extraction in discrete space 

    Yıldız, Olcay Taner (ELSEVIER SCI LTD., 2014-05)
    In many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values ...
  • Parallel univariate decision trees 

    Yıldız, Olcay Taner; Dikmen, Onur (Elsevier B.V, 2007-05-01)
    Univariate decision tree algorithms are widely used in data mining because (i) they are easy to learn (ii) when trained they can be expressed in rule based manner. In several applications mainly including data mining, the ...
  • Passion of chaotic cryptography 

    Solak, Ercan (IEEE, 2013)
    Despite being an active research area for the last two decades, chaotic cryptography has not found a place in mainstream cryptography literature. This paper explores the reasons for this separation.
  • Quadratic programming for class ordering in rule induction 

    Yıldız, Olcay Taner (ELSEVIER SCIENCE BV, 2015-03-01)
    Separate-and-conquer type rule induction algorithms such as Ripper, solve a K>2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in ...
  • Robust localization and identification of African clawed frogs in digital images 

    Tek, Faik Boray; Cannavo, Flavio; Nunnari, Giuseppe; Kale, İzzet (ELSEVIER SCIENCE BV, 2014-10)
    We study the automatic localization and identification of African clawed frogs (Xenopus laevis sp.) in digital images taken in a laboratory environment. We propose a novel and stable frog body localization and skin pattern ...
  • The routine design-modular distributed modeling platform for distributed routine design and simulation-based testing of distributed assemblies 

    Eskil, Mustafa Taner; Sticklen, Jon; Radcliffe, Clark (CAMBRIDGE UNIV PRESS, 2008-01)
    In this paper we describe a conceptual framework and implementation of a tool that supports task-directed, distributed routine design (RD) augmented with simulation-based design testing. In our research, we leverage the ...
  • Software defect prediction using Bayesian networks 

    Okutan, Ahmet; Yıldız, Olcay Taner (Springer, 2014-02)
    There are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics ...
  • Student conference as a student centred environment for integrating technical writings into computer engineering curriculum 

    Yakhno, Tatyana; Ekin, Emine (ANI YAYINCILIK, 2011)
    Problem Statement: In today's world there are pressures on universities to ensure that graduates have the capacity to meet the needs of employers. One aspect of this is to ensure that students, along with professional ...
  • Tree Ensembles on the Induced Discrete Space 

    Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2016-05)
    Decision trees are widely used predictive models in machine learning. Recently, K-tree is proposed, where the original discrete feature space is expanded by generating all orderings of values of k discrete attributes and ...
  • A tree-based approach for English-to-Turkish translation 

    Bakay, Özge; Avar, Begüm; Yıldız, Olcay Taner (Tubitak Scientific & Technical Research Council Turkey, 2019)
    In this paper, we present our English-to-Turkish translation methodology, which adopts a tree-based approach. Our approach relies on tree analysis and the application of structural modification rules to get the target side ...
  • VC-Dimension of Univariate Decision Trees 

    In this paper, we give and prove the lower bounds of the Vapnik-Chervonenkis (VC)-dimension of the univariate decision tree hypothesis class. The VC-dimension of the univariate decision tree depends on the VC-dimension ...