Browsing by Keywords "Support vector machines"

Now showing items 1-20 of 39

    • Activity recognition invariant to sensor orientation with wearable motion sensors 

      Yurtman, A.; Barshan, B. (MDPI AG, 2017)
      Most activity recognition studies that employ wearable sensors assume that the sensors are attached at pre-determined positions and orientations that do not change over time. Since this is not the case in practice, it is ...

    • Akut koroner sendromların otomatik ST/T sınıflandırıcısı ile erken tanısı 

      Terzi, M. Begüm; Arıkan, Orhan; Abacı, A.; Candemir, M.; Dedoğlu, Mehmet (IEEE, 2014-10)
      In patients with acute coronary syndrome, temporary chest pains together with changes in ECG ST segment and T wave occur shortly before the start of myocardial infarction. In order to diagnose acute coronary syndromes ...

    • Authorship attribution: performance of various features and classification methods 

      Bozkurt, İlker Nadi; Bağlıoğlu, Özgür; Uyar, Erkan (IEEE, 2007-11)
      Authorship attribution is the process of determining the writer of a document. In literature, there are lots of classification techniques conducted in this process. In this paper we explore information retrieval methods ...

    • Automatic radar antenna scan type recognition in electronic warfare 

      Barshan, B.; Eravci, B. (Institute of Electrical and Electronics Engineers, 2011-10-04)
      We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm are scan period estimation, preprocessing (normalization, resampling, averaging), ...

    • Autonomous multiple teams establishment for mobile sensor networks by SVMs within a potential field 

      Nazlibilek, S. (2012)
      In this work, a new method and algorithm for autonomous teams establishment with mobile sensor network units by SVMs based on task allocations within a potential field is proposed. The sensor network deployed into the ...

    • Bilkent-RETINA at retrieving diverse social images task of MediaEval 2014 

      Saraç, Mustafa İlker; Duygulu Pınar (CEUR-WS, 2014-10)
      This paper explains the approach proposed by Bilkent - RETINA team for the Retrieving Diverse Social Images task of MediaEval 2014 [1]. We develop a framework which rst removes outliers using one-class support vector ...

    • Canlı hücre bölütlemesi için gözeticili öğrenme modeli 

      Koyuncu, Can Fahrettin; Durmaz, İrem; Çetin-Atalay, Rengül; Gündüz-Demir, Çiğdem (IEEE Computer Society, 2014-04)
      Automated cell imaging systems have been proposed for faster and more reliable analysis of biological events at the cellular level. The first step of these systems is usually cell segmentation whose success affects the ...

    • Carcinoma cell line discrimination in microscopic images using unbalanced wavelets 

      Keskin F.; Suhre, A.; Erşahin, T.; Çetin-Atalay R.; Çetin, A. E. (2012)
      Cancer cell lines are widely used for research purposes in laboratories all over the world. In this paper, we present a novel method for cancer cell line image classification, which is very costly by conventional methods. ...

    • Cepstrum based feature extraction method for fungus detection 

      Yorulmaz, Onur; Pearson, T.C.; Çetin, A. Enis (SPIE, 2011)
      In this paper, a method for detection of popcorn kernels infected by a fungus is developed using image processing. The method is based on two dimensional (2D) mel and Mellin-cepstrum computation from popcorn kernel images. ...

    • Classification of regional ionospheric disturbance based on machine learning techniques 

      Terzi, M. B.; Arikan, O.; Karatay S.; Arikan, F.; Gulyaeva T. (European Space Agency, 2016)
      In this study, Total Electron Content (TEC) estimated from GPS receivers is used to model the regional and local variability that differs from global activity along with solar and geomagnetic indices. For the automated ...

    • Classifying fonts and calligraphy styles using complex wavelet transform 

      Bozkurt, A.; Duygulu P.; Cetin, A.E. (Springer-Verlag London Ltd, 2015)
      Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, ...

    • Classifying human leg motions with uniaxial piezoelectric gyroscopes 

      Tunçel O.; Altun, K.; Barshan, B. (2009)
      This paper provides a comparative study on the different techniques of classifying human leg motions that are performed using two low-cost uniaxial piezoelectric gyroscopes worn on the leg. A number of feature sets, extracted ...

    • Comparative study on classifying human activities with miniature inertial and magnetic sensors 

      Altun, K.; Barshan, B.; Tunçel, O. (Elsevier, 2010)
      This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ...

    • Covariance matrix-based fire and flame detection method in video 

      Habiboğlu, Y. H.; Günay, O.; Çetin, A. E. (Springer, 2011-09-17)
      This paper proposes a video-based fire detection system which uses color, spatial and temporal information. The system divides the video into spatio-temporal blocks and uses covariance-based features extracted from these ...

    • Detection of acute myocardial ischemia based on support vector machines 

      Terzi, Merve Begüm; Arıkan, Orhan (IEEE, 2018)
      In patients with acute myocardial ischemia, chest pains together with changes in ST/T sections of ECG signal occur before the start of myocardial infarction. In this study, in order to diagnose acute myocardial ischemia, ...

    • Detection of empty hazelnuts from fully developed nuts by impact acoustics 

      Onaran, İbrahim; Dülek, Berkan; Pearson, T. C.; Yardımcı, Y.; Çetin, Ahmet Enis (IEEE, 2005)
      Shell-kernel weight ratio is the main determinate of quality and price of hazelnuts. Empty hazelnuts and nuts containing undeveloped kernels may also contain mycotoxin producing molds, which can cause cancer. A prototype ...

    • Detection of fungal damaged popcorn using image property covariance features 

      Yorulmaz, O.; Pearson, T. C.; Çetin, A. (Elsevier, 2012)
      Covariance-matrix-based features were applied to the detection of popcorn infected by a fungus that causes a symptom called " blue-eye" . This infection of popcorn kernels causes economic losses due to the kernels' poor ...

    • Düşme tespiti için sınıflandırma yöntemlerinin karşılaştırılması 

      Çatalbaş, Bahadır; Yücesoy, Burak; Seçer, G.; Aslan, Murat (IEEE, 2014-04)
      Bu bildiride giyilebilir yapıda olan ve üç boyutlu ölçüm alabilen bir ivmeölçerin çıktılarını kullanarak düşme tespiti yapan farklı algoritmaların karşılaştırılması yapılmıştır. Karşılaştırma amacıyla destek vektör makineleri, ...

    • Fall detection using single-tree complex wavelet transform 

      Yazar, A.; Keskin, F.; Töreyin, B. U.; Çetin, A. E. (Elsevier, 2013)
      The goal of Ambient Assisted Living (AAL) research is to improve the quality of life of the elderly and handicapped people and help them maintain an independent lifestyle with the use of sensors, signal processing and ...

    • Flame detection method in video using covariance descriptors 

      Habiboǧlu, Y.H.; Günay, Osman; Çetin, A. Enis (IEEE, 2011)
      Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covariance features extracted from these blocks ...