Shape matching based on skeletonization and alignment of primitive chains
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 …
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
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 …
managed to inseminate several seemingly completely different areas of science. This paper …
Combining pattern recognition modalities at the sensor level via kernel fusion
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 …
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
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) …
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 …
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 …
managed to inseminate several seemingly completely different areas of science. This paper …
Supervised selective combination of diverse object-representation modalities for regression estimation
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 …
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 …
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 …
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 …
данных Тульского государственного университета и Вычислительного центра РАН …