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Fast Computation of Three-Dimensional Geometric Moments Using a Discrete Divergence Theorem and a Generalization to Higher Dimensions.

, , and . CVGIP: Graphical Model and Image Processing, 59 (2): 97-108 (1997)

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An Evaluation of Confidence Bound Estimation Methods for Neural Networks., , , , and . Advances in Computational Intelligence and Learning, page 71-84. Kluwer, (2002)Texture Classification of Mouse Liver Cell Nuclei Using Invariant Moments of Consistent Regions., , and . CAIP, volume 970 of Lecture Notes in Computer Science, page 496-502. Springer, (1995)fast Computation of 3-D Geometric Moments Using a Discrete Gauss' Theorem., , and . CAIP, volume 970 of Lecture Notes in Computer Science, page 649-654. Springer, (1995)A Supervised Approach to the Evaluation of Image Segmentation Methods., , , and . CAIP, volume 970 of Lecture Notes in Computer Science, page 759-765. Springer, (1995)Methods to Estimate Areas and Perimeters of Blob-like Objects: a Comparison., , , and . MVA, page 272-276. (1994)Fast computation of invariant geometric moments: a new method giving correct results., and . ICPR (1), page 201-204. IEEE, (1994)Fast Computation of Three-Dimensional Geometric Moments Using a Discrete Divergence Theorem and a Generalization to Higher Dimensions., , and . CVGIP: Graphical Model and Image Processing, 59 (2): 97-108 (1997)Fast and exact computation of Cartesian geometric moments using discrete Green's theorem., and . Pattern Recognit., 29 (7): 1061-1073 (1996)