Author/Authors
koç, mehmet bilecik seyh edebali university - engineering faculty - department of electrical and electronics engineering, TURKEY , barkana, atalay anadolu university - engineering faculty - department of electrical and electronics engineering, TURKEY
Title Of Article
A NOVEL IMPLEMENTATION ALGORITHM FOR CALCULATION OF COMMON VECTORS
شماره ركورد
34380
Abstract
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.
From Page
251
NaturalLanguageKeyword
Common vector , Discriminative common vector , Linear regression classification , Subspace methods , Face recognition
JournalTitle
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering
To Page
262
JournalTitle
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering
Link To Document