Vol. 1, №5, 2013

The paper extends the approach towards morphological analysis of unknown Russian surnames, which has been implemented as part of the ISIDA-T information extraction software. The idea is first to construct a redundant set of hypotheses and then to reduce the number of hypotheses using various heuristic techniques like ruling out impossible options with filtering rules; clustering textual forms and filtering hypotheses within clusters; preference-based ranking of options. Some limitations of the method are analysed, including those due to its deterministic nature.

Karkishchenko A.N., Mnukhin V.B. Recovery of points symmetry in images of objects with reflectional symmetry // Machine Learning and Data Analysis. 2013. V. 1, № 5. Pp. 621-631. In this work, we consider the problem to obtain more accurate information about location of points based on a priori knowledge of their symmetries. Methods to solve this symmetrization problem with respect to vertical and inclined axes of reflectional symmetry are considered jointly with the more general case of reflectional symmetry with respect to an indefinite reflection axis. The methods produce the minimal deformation that enhances approximate symmetries present in a given arrangement of points.

Vol. 1, №6, 2013

Chuvilina E.V. Informative features for diagnostics of bearings by detection of local inhomogeneities // Machine learning and data analysis. 2013. V. 1, № 6. Pp. 695-704. The task of diagnostics of bearings in a gasturbine engine is seen as a pattern recognition problem based on the detection of local inhomogeneities in the vibrosignal. Proposed and investigated a number of features, allocated most informative ones having a linear separability, namely: fractal dimension, drift vector, matrix of dependence increments from the signal.