Alexander P. Kuleshov

发表

Machine Learning in Appearance-Based Robot Self-Localization

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).

Extended Regression on Manifolds Estimation

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2016, COPA.

Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles

Andrzej Cichocki, Alexander P. Kuleshov, 2020 .

Dimensionality Reduction in Statistical Learning

Alexander P. Kuleshov, Alexander V. Bernstein, 2014, 2014 13th International Conference on Machine Learning and Applications.

Data-Based Statistical Models of Data Networks

Alexander P. Kuleshov, Alexander V. Bernstein, Yury Agalakov, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Manifold Learning in Data Mining Tasks

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2014, MLDM.

Manifold Learning Regression with Non-stationary Kernels

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, ANNPR.

Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps pdf

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2012, ArXiv.

Manifold Learning in Regression Tasks

Alexander P. Kuleshov, Yury Yanovich, Alexander V. Bernstein, 2015, SLDS.

Statistical Learning via Manifold Learning

Alexander P. Kuleshov, Yury Yanovich, Alexander V. Bernstein, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning

Alexander P. Kuleshov, Yury Yanovich, Alexander V. Bernstein, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Low-Dimensional Data Representation in Data Analysis

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2014, ANNPR.

Regression on High-Dimensional Inputs

Alexander P. Kuleshov, Alexander V. Bernstein, 2016, 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW).

Mobile Robot Localization via Machine Learning

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2017, MLDM.

Statistical Learning on Manifold-Valued Data

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2016, MLDM.

Conformal prediction in manifold learning

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, COPA.

High-Dimensional Density Estimation for Data Mining Tasks

Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Incremental Construction of Low-Dimensional Data Representations

Alexander P. Kuleshov, Alexander V. Bernstein, 2016, ANNPR.

Optimal filtering of a random background in image processing problems

Alexander P. Kuleshov, Alexander V. Bernstein, 2008, Probl. Inf. Transm..

Kernel Regression on Manifold Valued Data

Evgeny Burnaev, Alexander P. Kuleshov, Alexander Bernstein, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Nonlinear multi-output regression on unknown input manifold

Alexander P. Kuleshov, Alexander Bernstein, 2017, Annals of Mathematics and Artificial Intelligence.

Manifold Learning: Generalization Ability and Tangent Proximity

Alexander P. Kuleshov, Alexander V. Bernstein, A. Bernstein, 2013, Int. J. Softw. Informatics.

Locally isometric and conformal parameterization of image manifold

Alexander P. Kuleshov, Yury Yanovich, Alexander V. Bernstein, 2015, International Conference on Machine Vision.

Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles

Andrzej Cichocki, Alexander P. Kuleshov, A. Cichocki, 2020, Comput. Intell. Neurosci..

Nonlinear multi-output regression on unknown input manifold

Alexander P. Kuleshov, A. Bernstein, 2017, Annals of Mathematics and Artificial Intelligence.

Cognitive technologies in adaptive models of complex plants

Alexander Kuleshov, Alexander Bernstein, Alexander P. Kuleshov, 2009 .

Manifold Learning: Generalization Ability and Tangent Proximity

Alexander P. Kuleshov, Bernstein Alexander, Kuleshov Alexander Petrovich, 2013, Int. J. Softw. Informatics.