Title | ||
---|---|---|
An experimental evaluation of linear and kernel-based classifiers for face recognition |
Abstract | ||
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This paper presents the results of a comparative study of linear and kernel-based methods for face recognition. We focus mainly on the experimental comparison of classification methods, i.e. Nearest Neighbor, Linear Support Vector Machine, Kernel based Nearest Neighbor and Nonlinear Support Vector Machine. Some interesting conclusions can be obtained after all of these methods are performed on two wellknown database, i.e. ORL, YALE Face Database, respectively. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1007/11427445_21 | ISNN (2) |
Keywords | Field | DocType |
comparative study,interesting conclusion,face recognition,experimental evaluation,yale face database,classification method,experimental comparison,nearest neighbor,kernel-based classifier,vector machine,nonlinear support,linear support,support vector machine | k-nearest neighbors algorithm,Kernel (linear algebra),Facial recognition system,Nearest neighbour,Nonlinear system,Pattern recognition,Computer science,Support vector machine,Kernel principal component analysis,Artificial intelligence,Kernel method,Machine learning | Conference |
Volume | ISSN | ISBN |
3497 | 0302-9743 | 3-540-25913-9 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Congde Lu | 1 | 14 | 2.72 |
Taiyi Zhang | 2 | 176 | 17.60 |
Wei Zhang | 3 | 226 | 19.22 |
Guang Yang | 4 | 1 | 0.83 |