Invariant pattern recognition: A review
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[1] J. Richardson. PATTERN RECOGNITION AND GROUP THEORY , 1972 .
[2] J. C. Dunn. Continuous Group Averaging and Pattern Classification Problems , 1973, SIAM J. Comput..
[3] Peter D. Welch,et al. The Fast Fourier Transform and Its Applications , 1969 .
[4] Scale-rotation invariant pattern recognition applied to image data compression , 1988, Pattern Recognit. Lett..
[5] John Shawe-Taylor,et al. Symmetries and discriminability in feedforward network architectures , 1993, IEEE Trans. Neural Networks.
[6] F. Fallside,et al. Neural networks for signal processing : proceedings of the 1991 IEEE workshop , 1991 .
[7] Henry Stark,et al. Three - Dimensional Object Recognition From Multiple Views , 1987, Other Conferences.
[8] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.
[9] Colin Giles,et al. Learning, invariance, and generalization in high-order neural networks. , 1987, Applied optics.
[10] Rama Chellappa,et al. A higher-order neural network for distortion invariant pattern recognition , 1992, Pattern Recognit. Lett..
[11] Ronald N. Bracewell,et al. The Fourier Transform and Its Applications , 1966 .
[12] Kemal Oflazer,et al. A rotation, scaling, and translation invariant pattern classification system , 1993, Pattern Recognit..
[13] Harry Wechsler,et al. Invariance in Pattern Recognition , 1987 .
[14] Michael Thompson,et al. Frontiers of Pattern Recognition , 1975 .
[15] Michael Spann,et al. A comparison between Fourier-Mellin descriptors and moment based features for invariant object recognition using neural networks , 1991, Pattern Recognit. Lett..
[16] W. Scott,et al. Group Theory. , 1964 .
[17] David Lovell,et al. The neocognitron as a system for handwritten character recognition : limitations and improvements , 1994 .
[18] R. Gilmore,et al. Lie Groups, Lie Algebras, and Some of Their Applications , 1974 .
[19] M. Golubitsky,et al. Singularities and groups in bifurcation theory , 1985 .
[20] Kemal Oflazer,et al. A rotation, scaling and translation invariant pattern classification system , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.
[21] Hee-Yeung Hwang,et al. Scale and rotation invariant pattern recognition using complex-log mapping and augmented second order neural network , 1993 .
[22] L. Marton,et al. Advances in Electronics and Electron Physics , 1958 .
[23] Andrej Dobnikar,et al. Invariant pattern classification neural network versus FT approach , 1992, Microprocess. Microprogramming.
[24] C. Chevalley. Theory of Lie Groups , 1946 .
[25] Yajun Li,et al. Reforming the theory of invariant moments for pattern recognition , 1992, Pattern Recognit..
[26] W. Ledermann. Introduction to Group Characters , 1977 .
[27] Paulo J. G. Lisboa,et al. Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers , 1992, IEEE Trans. Neural Networks.
[28] Meghanad D. Wagh,et al. A class of translation invariant transforms , 1977 .
[29] Geoffrey E. Hinton,et al. Phoneme recognition using time-delay neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..
[30] Yann LeCun,et al. Generalization and network design strategies , 1989 .
[31] P. S. Moharir,et al. Pattern-recognition transforms , 1992 .
[32] Jan Flusser,et al. Pattern recognition by affine moment invariants , 1993, Pattern Recognit..
[33] R. Duren,et al. A comparison of second-order neural networks to transform-based method for translation- and orientation-invariant object recognition , 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.
[34] Minoru Fukumi,et al. Rotation-invariant neural pattern recognition system with application to coin recognition , 1992, IEEE Trans. Neural Networks.
[35] Reiner Lenz,et al. Group invariant pattern recognition , 1990, Pattern Recognit..
[36] J Duvernoy,et al. Circular-Fourier-radial-Mellin transform descriptors for pattern recognition. , 1986, Journal of the Optical Society of America. A, Optics and image science.
[37] Anders Krogh,et al. Introduction to the theory of neural computation , 1994, The advanced book program.
[38] M. Ferraro,et al. Relationship between integral transform invariances and Lie group theory , 1988 .
[39] Noboru Ohnishi,et al. Augmented multi-layer perceptron for rotation- and scale-invariant hand-written numeral recognition , 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.
[40] Etienne Barnard,et al. Shift invariance and the neocognitron , 1990, Neural Networks.
[41] Michael Clausen,et al. Fast Fourier transforms , 1993 .
[42] Russ Duren,et al. A new neural network architecture for rotationally invariant object recognition , 1991, [1991] Proceedings of the 34th Midwest Symposium on Circuits and Systems.
[43] Joe Harris,et al. Representation Theory: A First Course , 1991 .
[44] Alireza Khotanzad,et al. Classification of invariant image representations using a neural network , 1990, IEEE Trans. Acoust. Speech Signal Process..
[45] David A. Pintsov. Invariant pattern recognition, symmetry, and Radon transforms , 1989 .
[46] Kunihiko Fukushima,et al. Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position , 1982, Pattern Recognit..
[47] H. Arsenault,et al. Experiments on pattern recognition using invariant Fourier-Mellin descriptors. , 1986, Journal of the Optical Society of America. A, Optics and image science.
[48] J. Craggs. Applied Mathematical Sciences , 1973 .
[49] Alireza Khotanzad,et al. Invariant Image Recognition by Zernike Moments , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[50] Stefanos D. Kollias,et al. Invariant image classification using triple-correlation-based neural networks , 1994, IEEE Trans. Neural Networks.
[51] Y. H. Huh,et al. On-line recognition of hand-printed Korean characters , 1982, Pattern Recognit..
[52] D Casasent,et al. Hybrid processor to compute invariant moments for pattern recognition. , 1980, Optics letters.
[53] J Mas,et al. Symmetry processing in neural network models , 1989 .
[54] Yunlong Sheng,et al. Invariant pattern recognition using Fourier-Mellin transforms and neural networks , 1991 .
[55] Zhi-Qiang Liu,et al. On the minimum number of templates required for shift, rotation and size invariant pattern recognition , 1988, Pattern Recognit..
[56] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[57] Yann LeCun,et al. Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network , 1991, NIPS.
[58] Shingo Tomita,et al. A note on a higher-order neural network for distortion invariant pattern recognition , 1994, Pattern Recognit. Lett..
[59] J. Shawe-Taylor. Building symmetries into feedforward networks , 1989 .
[60] M. I. Kargapolov,et al. Fundamentals of the theory of groups , 1979 .
[61] Lilly Spirkovska,et al. Robust position, scale, and rotation invariant object recognition using higher-order neural networks , 1992, Pattern Recognit..
[62] D. Casasent,et al. Position, rotation, and scale invariant optical correlation. , 1976, Applied optics.
[63] Reiner Lenz,et al. Group Theoretical Methods in Image Processing , 1990, Lecture Notes in Computer Science.
[64] Ming-Kuei Hu,et al. Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.
[65] James L. McClelland,et al. James L. McClelland, David Rumelhart and the PDP Research Group, Parallel distributed processing: explorations in the microstructure of cognition . Vol. 1. Foundations . Vol. 2. Psychological and biological models . Cambridge MA: M.I.T. Press, 1987. , 1989, Journal of Child Language.