Yazar "Gülmezoğlu, M. Bilginer" için listeleme
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The common vector approach and its comparison with other subspace methods in case of sufficient data
Gülmezoğlu, M. Bilginer; Dzhafarov, Vakif; Edizkan, Rıfat; Barkana, Atalay (Academic Press LTD- Elsevier Science LTD, 2007)This paper presents an application of the common vector approach (CVA), an approach mainly used for speech recognition problems when the number of data items exceeds the dimension of the feature vectors. The calculation ... -
ECG Based Biometric Authentication Using Ensemble of Features
Ergin, Semih; Uysal, Alper Kurşat; Günal, Efnan Sora; Günal, Serkan; Gülmezoğlu, M. Bilginer (IEEE, 2014)In this work, the efficacy of various features on electrocardiogram (ECG) based biometric authentication process is thoroughly examined. In particular, the features acquired from temporal analysis, wavelet transformation, ... -
Endpoint detection of isolated words using center of gravity method
Gülmezoğlu, M. Bilginer; Edizkan, Rifat; Ergin, Semih; Barkana, Atalay (IEEE, 2007)In this study, center of gravity (COG) method is proposed to detect endpoints of isolated words. Common vector approach (CVA) is employed to evaluate the effect of the proposed method in the isolated word recognition. Since ... -
Endpoint detection of isolated words using center of gravity method [Agirlik merkezi yöntemini kullanarak yalitik kelimelerin uç noktalarinin belirlenmesi]
In this study, center of gravity (COG) method is proposed to detect endpoints of isolated words. Common vector approach (CVA) is employed to evaluate the effect of the proposed method in the isolated word recognition. Since ... -
Improvements on common vector approach for multi class problems
In multi-class problems, within- and between-class scatters should be considered in classification criterion. The common vector approach (CVA) uses the discriminative information obtained from within-class scatter of any ... -
Improvements on isolated word recognition using FLDA [FLDA kullanarak ayrik kelime tanimada yapilan iyileştirmeler]
The purpose of this study is to increase the recognition rates of the isolated word using improved Fisher's Linear Discriminant Analysis (FLDA). Therefore, at first, unique subspace for each class is constructed by defining ... -
A new implementation of common matrix approach using third-order tensors for face recognition
Ergin, Semih; Çakır, Serdar; Gerek, Ömer Nezih; Gülmezoğlu, M. Bilginer (Pergamon-Elsevier Science LTD, 2011)In the classical common matrix approach (CMA), the common matrix for each individual face class is obtained using basis matrices calculated by Gram-Schmidt orthogonalization of the class covariance matrix. This common ... -
A novel approach to isolated word recognition
Gülmezoğlu, M. Bilginer; Dzhafarov, Vakif; Keskin, M; Barkana, Atalay (IEEE-Inst Electrical Electronics Engineers Inc, 1999)A voice signal contains the psychological and physiological properties of the speaker as well as dialect differences, acoustical environment effects, and phase differences. For these reasons, the same word uttered by ... -
On feature extraction for spam e-mail detection
Günal, Serkan; Ergin, Semih; Gülmezoğlu, M. Bilginer; Gerek, Ömer Nezih (Springer-Verlag Berlin, 2006)Electronic mail is an important communication method for most computer users. Spam e-mails however consume bandwidth resource, fill-up server storage and are also a waste of time to tackle. The general way to label an ... -
On the realization of common matrix classifier using covariance tensors
Ergin, Semih; Gerek, Ömer Nezih; Gülmezoğlu, M. Bilginer; Barkana, Atalay (Academic Press Inc Elsevier Science, 2015)Due to the growing interest in image classifiers, the concept of native two dimensional (2-D) classifiers continues to attract researchers in the field of pattern recognition. In most cases, the 2-D extension of a regular ... -
A survey on ECG analysis
Berkaya, Selcan Kaplan; Uysal, Alper Kurşat; Günal, Efnan Sora; Ergin, Semih; Günal, Serkan; Gülmezoğlu, M. Bilginer (Elsevier Sci LTD, 2018)The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the heart. In the literature, the ECG signal has been analyzed and utilized for various purposes, such as measuring the heart rate, ... -
Use of center of gravity with the common vector approach in isolated word recognition
Gülmezoğlu, M. Bilginer; Edizkan, Rıfat; Ergin, Semih; Barkana, Atalay (Pergamon-Elsevier Science LTD, 2011)In this paper, the subspace based classifier, common vector approach (CVA), with the center of gravity (COG) method is used for isolated word recognition. Since the CVA classifier is sensitive to shifts through the time ...
