69 I[1] , , , , “,” ,Aug. 1998.[2] S. Watanabe, P.F. Lambert, C.A. Kulikowski, J.L. Buxton, and R. Walker,“Evaluation and selection of variables in pattern recognition,” Comp. & Info.Sciences, vol. 2, (Julius Tou, ed.). New York: Academic Press, pp. 91–122, 1967.[3] T. Iijima, H. Genchi, and K. Mori, “A theory of character recognition by patternmatching method,” Proc. of 1st Int’l J. Conf. on Pattern Recognition,pp. 50–56, 1973.[4] E. Oja, Subspace methods of pattern recognition, Research Studies Press, 1983. , 1986.[5] , 1, 1996.[6] , - -, ,2005.[7] S. Watanabe, Knowing and guessing : A quantitative study of inference andinformation, John Wiley & Sons, New York, 1969., , : , , , 1987.(72)
69 II[8] - -1999.[9] , --, , 2003.[10] , “,” , PRMU2010,vol. 110, no. 296, pp. 13–18, Nov. 2010 .[11] , “,” , PRMU2010,vol. 110, no. 330, pp. 45–50, Dec. 2010.[12] J.F. Hannan and H. Robbins, “Asumptotic solutions of the compound decisionproblem for two completely specified distributions,” Annals of MathematicalStatistcs, vol. 26, no. 1, pp. 37-51, 1955.[13] “ · ”(D), vol. J68-D, no. 3, pp. 345–352, 1985.[14] B. Leibe and B. Schiele, “Analyzing appearance and contour based methods forobject categorization,” Proc. of CVPR, pp. 409–415, 2003.(73)
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別 辞 書 識別 部 識 69 [1]
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69 [2, 3, 4] : () · ()(7)
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69 : minu i−d∑p(u i ) log p(u i
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69 1/3 [5]0 “” subspacesub (
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69 3/3線 型 部 分 空 間 で
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69 r d u 1 , u 2 , ..., u r d ×
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69 argmaxsubject to argmaxsubject t
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69 () A u ⊤ u = 1 u ⊤ Au max u
- Page 21 and 22: 69 n d x i (i = 1, ..., n) C j
- Page 23 and 24: 69 cos θ 1/3U d × r 1 x U U
- Page 25 and 26: 69 cos θ 3/3 c = (U ⊤ x)/∥U
- Page 27 and 28: 69 U 2/2n x 1 , ..., x n d i =
- Page 29 and 30: 69 N = X ⊤ X ∈ R n×n r 0
- Page 31 and 32: 69 ω j N (x|µ j , Σ j ) =1(2π)
- Page 33 and 34: 69 ˆµ j = 0, ˆΣj = R j R j = 1
- Page 35 and 36: 69 g j (x) = −∥Λ − 1 2jU ⊤
- Page 37 and 38: 69 1/w 1 ≤ 1/w 2 ≤ · · · ≤
- Page 39 and 40: 69 r∑S j (x) = (r − i + 1)(u
- Page 41 and 42: 69 makedata.m makedata.m USPS [
- Page 43 and 44: 69 : i j ij class 0 1 2 3 4 5 6 7
- Page 45 and 46: 69 Figure 1 (45)
- Page 47 and 48: 69 ¯λ = ∑ ri=1 λ i/ ∑ rank(
- Page 49 and 50: 69 CPU 1.86GHz 2GB32bit WindowsMAT
- Page 51 and 52: 69 犬体 のパターンを 観
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- Page 57 and 58: 69 CSMn X T P (ω j | ¯X ) =T
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- Page 61 and 62: 69 2/2 (4) b ⊤ (5) c ⊤ λ =
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- Page 65 and 66: 69 make_data.m Y = 0.2989R + 0.587
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