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V. Kober, Mikhail Mozerov, J. Alvarez-Borrego, & I.A. Ovseyevich. (2006). Adaptive Correlation Filters for Pattern Recognition. Pattern Recognition and Image Analysis, 425–431.
Abstract: Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance.
Keywords: Pattern recognition, Correlation filters, A adaptive filters
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Mikhail Mozerov, & V. Kober. (2006). Impulse Noise Removal with Gradient Adaptive Neighborhoods. Optical Engineering, 45: 67003.
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Mikhail Mozerov, V. Kober, & I.A. Ovseyevich. (2007). Robust Dynamic Programming Algorithm for Motion Detection and Estimation.
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V. Kober, Mikhail Mozerov, Josue Albarez, & I.A. Ovseyevich. (2007). Algorithms for Impulse Noise Renoval from Corrupted Color Images.
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A. Diplaros, N. Vlassis, & Theo Gevers. (2007). A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. IEEE Transactions on Neural Networks, 798–808.
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