Yazar "Ergin, Semih" için listeleme
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Detection of SMS spam messages on mobile phones [Mobi·l telefonlarda i·stenmeyen SMS mesajlarinin beli·rlenmesi·]
In this study, a novel "SMS spam message filter" utilizing effective feature selection and pattern classification techniques is proposed. The proposed filter detects and filters out SMS spam messages in a smart manner ... -
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 ... -
The Impact of Feature Extraction and Selection on SMS Spam Filtering
Uysal, Alper Kurşat; Günal, Serkan; Ergin, Semih; Günal, E. Sora (Kaunas University Technology, 2013)This paper investigates the impact of several feature extraction and feature selection approaches on filtering of short message service (SMS) spam messages in two different languages, namely Turkish and English. The entire ... -
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 framework for SMS spam filtering
A novel framework for SMS spam filtering is introduced in this paper to prevent mobile phone users from unsolicited SMS messages. The framework makes use of two distinct feature selection approaches based on information ... -
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 ...
