Linear Regression Correlation Filter: An Application to Face Recognition
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-32-9088-4_32
Reference19 articles.
1. Banerjee, P.K., Datta, A.K.: Generalized regression neural network trained preprocessing of frequency domain correlation filter for improved face recognition and its optical implementation. Opt. Laser Technol. 45, 217–227 (2013)
2. Banerjee, P.K., Datta, A.K.: A preferential digital-optical correlator optimized by particle swarm technique for multi-class face recognition. Opt. Laser Technol. 50, 33–42 (2013)
3. Banerjee, P.K., Datta, A.K.: Class specific subspace dependent nonlinear correlation filtering for illumination tolerant face recognition. Pattern Recognition Letters 36, 177–185 (2014)
4. Belhumeur, P.N., Hespanha, J.P., Kriegman, D.J.: Eigenfaces versus fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 711–720 (1997)
5. Trevor, H., Robert, T., Jerome, F.: The Elements of Statistical Learning. Springer, Berlin (2009)
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