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The Bayes Decision Rule Induced Similarity Measures
June 2007 (vol. 29 no. 6)
pp. 1086-1090
| ASCII Text | x | ||
| Chengjun Liu, "The Bayes Decision Rule Induced Similarity Measures," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1086-1090, June, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/TPAMI.2007.1063, author = {Chengjun Liu}, title = {The Bayes Decision Rule Induced Similarity Measures}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {29}, number = {6}, issn = {0162-8828}, year = {2007}, pages = {1086-1090}, doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.1063}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - The Bayes Decision Rule Induced Similarity Measures IS - 6 SN - 0162-8828 SP1086 EP1090 EPD - 1086-1090 A1 - Chengjun Liu, PY - 2007 KW - Face Recognition Grand Challenge (FRGC) KW - PRM Whitened Cosine (PWC) similarity measure KW - whitened cosine similarity measure KW - Within-Class Whitened Cosine (WWC) similarity measure. VL - 29 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
This paper first shows that the popular whitened cosine similarity measure is related to the Bayes decision rule under specific assumptions and then presents two new similarity measures: the PRM Whitened Cosine (PWC) similarity measure and the Within-Class Whitened Cosine (WWC) similarity measure. Experiments on face recognition using the Face Recognition Grand Challenge (FRGC) version 2 database show the effectiveness of the new measures.
Index Terms:
Face Recognition Grand Challenge (FRGC), PRM Whitened Cosine (PWC) similarity measure, whitened cosine similarity measure, Within-Class Whitened Cosine (WWC) similarity measure.
Citation:
Chengjun Liu, "The Bayes Decision Rule Induced Similarity Measures," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 6, pp. 1086-1090, June 2007, doi:10.1109/TPAMI.2007.1063
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