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Publications (5)
For a collection of planar shapes, (e.g. characters in the given font) a fractal operator is defined which when applied iteratively to a standard set of initial contours, it reconstructs original objects with a high precision. This construction enables fast scalings and rotations of planar individual objects by simple algebraic operations on the fr...
A methodology for pattern recognition based on design of invariant reference points is described. Within this framework many
classical pattern classifiers can be described (e.g. the k-NN distance classifier) and few new classifiers are defined (e.g.
LPCAS classifier). LPCAS is applied for handwritten digit recognition reaching performance of 99.4%...
For a collection of planar shapes, (e.g. characters in the given font) a fractal operator is defined which when applied iteratively to a standard set of initial contours, it reconstructs original objects with a high precision. This construction enables fast scalings and rotations of planar individual objects by simple algebraic operations on the fr...
Local Principal Components Analysis, i.e. Principal Component Analysis performed in data clusters, is discussed and a neural algorithm is developed. This algorithmic tool is used for pattern recognition. A decision function based on the subspace method is generalized by introducing normalization matrix and affine coefficients , . Assuming that feat...
