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Improvements on the uncorrelated optimal discriminant vectors. (English) Zbl 1054.68122
Summary: The algorithm and the theorem of Uncorrelated Optimal Discriminant Vectors (UODV) were proposed by Jin. In this paper, we present new improvements to Jin’s method, which include an improved approach for the original algorithm and a generalized theorem for UODV. Experimental results prove that our approach is superior to the original in the recognition rate.

MSC:
68T10 Pattern recognition, speech recognition
Software:
UODV
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References:
[1] Liu, K.; Cheng, Y.Q.; Yang, J.Y.; Liu, X., An efficient algorithm for foley – sammon optimal set of discriminant vectors by algebraic method, Int. J. pattern recog. artif. intell., 6, 5, 817-829, (1992)
[2] Jin, Z.; Yang, J.; Hu, Z.; Lou, Z., Face recognition based on the uncorrelated discriminant transformation, Pattern recognition, 34, 7, 1405-1416, (2001) · Zbl 0978.68118
[3] Jin, Z.; Yang, J.; Tang, Z.; Hu, Z., A theorem on the uncorrelated optimal discriminant vectors, Pattern recognition, 34, 10, 2041-2047, (2001) · Zbl 0999.68189
[4] Woods, K.; Kegelmeyer, W.P.; Bowyer, K., Combination of multiple classifiers using local accuracy estimates, IEEE trans. pattern anal. Mach. intell., 19, 4, 405-410, (1997)
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