1. DergiPark
  2. Anadolu Üniversitesi Bilim Ve Teknoloji Dergisi A - Uygulamalı Bilimler ve Mühendislik
  3. Arşiv
  4. Cilt 17, Sayı 2
Yıl 2016, Cilt 17 , Sayı 2, Sayfalar 251 - 262 2016-07-14

A Novel Implementation Algorithm for Calculation of Common Vectors
A NOVEL IMPLEMENTATION ALGORITHM FOR CALCULATION OF

Mehmet KOÇ [1] , Atalay BARKANA [2]

Öz

Common vector approach (CVA), discriminative common vector approach (DCVA) and linear regression classification (LRC) are subspace methods used in pattern recognition. Up to now, there were two well-known algorithms to calculate the common vectors: (i) by using the Gram-Schmidt orthogonalization process, (ii) by using the within-class covariance matrices. The purpose of this paper is to introduce a new implementation algorithm for the derivation of the common vectors using the linear regression idea. The derivation of the discriminative common vectors through LRC is also included in this paper. Two numerical examples are given to clarify the proposed derivations. An experimental work is given in AR face database to compare the recognition performances of CVA, DCVA, and LRC. Additionally, the three implementation algorithms of common vector are compared in terms of processing time efficiency.

Anahtar Kelimeler

Common vector, Discriminative common vector, Linear regression classification, Subspace methods, Face recognition

Kaynakça

  • Shakhnarovich G, Moghaddam B. Face recognition in subspaces In: Li SZ, Jain AK, editors. Handbook of Face Recognition. Springer-Verlag; 2004. pp. 141-168.
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  • Naseem I, Togneri R, Bennamoun M. Linear regression for face recognition. IEEE T Pattern Anal 2010; 32(11): 2106-2112.
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  • Cevikalp H, Neamtu M, Barkana A. The kernel common vector method: a novel nonlinear subspace classifier for pattern recognition. IEEE T Syst Man Cy B 2007; 37(4): 937-951.
  • Diaz-Chito K, Ferri FJ, Diaz-Villanueva W. Image recognition through incremental discriminative common vectors. Advenced Concepts for Intelligent Vision Systems 2010; 6475: 304-311.
  • Huang SM, Yang JF. Linear discriminant regression classification for face recognition. IEEE Signal Proc Let 2013; 20(1): 91-94. [12] Huang SM, Yang JF. Improved principal component regression for face recognition under illumination variations. IEEE Signal Proc Let 2012; 19(4): 179-182.
  • Naseem I, Togneri R, Bennamoun M. Robust regression for face recognition. Pattern Recogn 2012; 45(1): 104-118.
  • Koc M, Barkana A. Application of linear regression classification to low dimensional datasets. Neurocomputing 2014; 131: 331-335.
  • Martinez A, Benavente Y. The AR face database, CVC Technical Report 24, 1994.
  • Koc M, Barkana A. Discriminative common vector approach based feature selection in face recognition, Computers & Electrical Engineering, 40(8):37-50, 2014.

Ayrıntılar

Bölüm Araştırma Makalesi
Yazarlar

Yazar: Mehmet KOÇ

Yazar: Atalay BARKANA
Tarihler

Yayımlanma Tarihi : 14 Temmuz 2016

Kaynak Göster

Bibtex @ { aubtda257959, journal = {Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering}, issn = {1302-3160}, eissn = {2146-0205}, address = {}, publisher = {Eskişehir Teknik Üniversitesi}, year = {2016}, volume = {17}, pages = {251 - 262}, doi = {10.18038/btda.68101}, title = {A Novel Implementation Algorithm for Calculation of Common Vectors}, key = {cite}, author = {Koç, Mehmet and Barkana, Atalay} }
APA Koç, M , Barkana, A . (2016). A Novel Implementation Algorithm for Calculation of Common Vectors . Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering , 17 (2) , 251-262 . DOI: 10.18038/btda.68101
MLA Koç, M , Barkana, A . "A Novel Implementation Algorithm for Calculation of Common Vectors" . Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 17 (2016 ): 251-262 <https://dergipark.org.tr/tr/pub/aubtda/issue/24338/257959>
Chicago Koç, M , Barkana, A . "A Novel Implementation Algorithm for Calculation of Common Vectors". Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 17 (2016 ): 251-262
RIS TY - JOUR T1 - A Novel Implementation Algorithm for Calculation of Common Vectors AU - Mehmet Koç , Atalay Barkana Y1 - 2016 PY - 2016 N1 - doi: 10.18038/btda.68101 DO - 10.18038/btda.68101 T2 - Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering JF - Journal JO - JOR SP - 251 EP - 262 VL - 17 IS - 2 SN - 1302-3160-2146-0205 M3 - doi: 10.18038/btda.68101 UR - https://doi.org/10.18038/btda.68101 Y2 - 2021 ER -
EndNote %0 Anadolu Üniversitesi Bilim Ve Teknoloji Dergisi A - Uygulamalı Bilimler ve Mühendislik A Novel Implementation Algorithm for Calculation of Common Vectors %A Mehmet Koç , Atalay Barkana %T A Novel Implementation Algorithm for Calculation of Common Vectors %D 2016 %J Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering %P 1302-3160-2146-0205 %V 17 %N 2 %R doi: 10.18038/btda.68101 %U 10.18038/btda.68101
ISNAD Koç, Mehmet , Barkana, Atalay . "A Novel Implementation Algorithm for Calculation of Common Vectors". Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering 17 / 2 (Temmuz 2016): 251-262 . https://doi.org/10.18038/btda.68101
AMA Koç M , Barkana A . A Novel Implementation Algorithm for Calculation of Common Vectors. AUBTD-A. 2016; 17(2): 251-262.
Vancouver Koç M , Barkana A . A Novel Implementation Algorithm for Calculation of Common Vectors. Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering. 2016; 17(2): 251-262.
IEEE M. Koç ve A. Barkana , "A Novel Implementation Algorithm for Calculation of Common Vectors", Anadolu University Journal of Science and Technology A - Applied Sciences and Engineering, c. 17, sayı. 2, ss. 251-262, Tem. 2016, doi:10.18038/btda.68101
Makalenin Yazarları
Mehmet KOÇ [1]
Atalay BARKANA [2]
Arşiv
Editör Kurulu
İletişim
TR Dizin
TR Dizin