Shape matching based on skeletonization and alignment of primitive chains

O Kushnir, O Seredin - Analysis of Images, Social Networks and Texts: 4th …, 2015 - Springer
We introduce a new shape matching approach based on skeletonization and alignment of
primitive chains. At the first stage the skeleton of a binary image is traversed …

Compactness hypothesis, potential functions, and rectifying linear space in machine learning

V Mottl, O Seredin, O Krasotkina - … in Machine Learning. Key Ideas from …, 2018 - Springer
Emmanuel Braverman was one of the very few thinkers who, during his extremely short life,
managed to inseminate several seemingly completely different areas of science. This paper …

Combining pattern recognition modalities at the sensor level via kernel fusion

V Mottl, A Tatarchuk, V Sulimova, O Krasotkina… - … Classifier Systems: 7th …, 2007 - Springer
The problem of multi-modal pattern recognition is considered under the assumption that the
kernel-based approach is applicable within each particular modality. The Cartesian product …

Parametric description of skeleton radial function by legendre polynomials for binary images comparison

O Kushnir, O Seredin - Image and Signal Processing: 6th International …, 2014 - Springer
A new approach for shape comparison based on skeleton matching is proposed. The
skeleton of a binary image is encoded as a series of primitives (chain of primitives) …

Machine-Learning for Dynamic Reverse Engineering of Hedge Funds

M Markov, I Muchnik, V Mottl… - … Conference on Machine …, 2007 - ieeexplore.ieee.org
The leave-one-out cross-validation in nested sets of data models is traditionally considered
in Machine Learning as the basic instrument of finding the most appropriate subset of …

Check for updates Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine

V Mott11, O Seredin¹, O Krasotkina - … , MA, USA, April 28-30, 2017 …, 2018 - books.google.com
Emmanuel Braverman was one of the very few thinkers who, during his extremely short life,
managed to inseminate several seemingly completely different areas of science. This paper …

Supervised selective combination of diverse object-representation modalities for regression estimation

O Krasotkina, O Seredin, V Mottl - … 2015, Günzburg, Germany, June 29-July …, 2015 - Springer
We consider the problem of multi-modal regression estimation under the assumption that a
kernel-based approach is applicable within each particular modality. The Cartesian product …

Adaptive nonstationary regression analysis

O Krasotkina, V Mottl - 2008 19th International Conference on …, 2008 - ieeexplore.ieee.org
The problem of finding the most appropriate subset of features or regressors is the generic
challenge of Machine Learning problems like regression estimation or pattern recognition …

[PDF][PDF] Комбинирование потенциальных функций в многомодальном распознавании образов

ВВ Моттль, АИ Татарчук, ОВ Красоткина… - Математические …, 2007 - bio.marstu.net
Естественно, что физический объект не может быть непосредственно воспринят
компьютером, поэтому в качестве посредника между объектами реального мира ω∈ Ω …

[PDF][PDF] Регуляризация в распознавании изображений: принципы гладкости решающего правила и выбора информативной подобласти

ОС Середин - Математические методы распознавания образов, 2007 - bio.marstu.net
В докладе приводится отчет о последних совместных работах Лаборатории анализа
данных Тульского государственного университета и Вычислительного центра РАН …