Alexander P. Kuleshov

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 18

Top Topics

Manifold Learning

Robot Localization

Laplacian Eigenmaps

Dimensionality Reduction

Top Venues

Publications

Andrzej Cichocki, Alexander P. Kuleshov
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles. Comput. Intell. Neurosci. 2021 (2021)
Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
Kernel Regression on Manifold Valued Data. DSAA (2018)
Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
Manifold Learning Regression with Non-stationary Kernels. ANNPR (2018)
Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
Conformal prediction in manifold learning. COPA (2018)
Alexander P. Kuleshov, Alexander Bernstein
Nonlinear multi-output regression on unknown input manifold. Ann. Math. Artif. Intell. 81 (1-2) (2017)
Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich
High-Dimensional Density Estimation for Data Mining Tasks. ICDM Workshops (2017)
Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
Mobile Robot Localization via Machine Learning. CoRR (2017)
Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich
Machine Learning in Appearance-Based Robot Self-Localization. ICMLA (2017)
Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
Mobile Robot Localization via Machine Learning. MLDM (2017)
Alexander P. Kuleshov, Alexander V. Bernstein
Incremental Construction of Low-Dimensional Data Representations. ANNPR (2016)
Alexander P. Kuleshov, Alexander V. Bernstein
Extended Regression on Manifolds Estimation. COPA (2016)
Alexander P. Kuleshov, Alexander V. Bernstein
Statistical Learning on Manifold-Valued Data. MLDM (2016)
Alexander P. Kuleshov, Alexander V. Bernstein
Regression on High-Dimensional Inputs. ICDM Workshops (2016)
Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
Locally isometric and conformal parameterization of image manifold. ICMV (2015)
Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
Manifold Learning in Regression Tasks. SLDS (2015)
Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
Information preserving and locally isometric&conformal embedding via Tangent Manifold Learning. DSAA (2015)
Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich
Statistical Learning via Manifold Learning. ICMLA (2015)
Alexander P. Kuleshov, Alexander V. Bernstein, Yury Agalakov
Data-Based Statistical Models of Data Networks. ICMLA (2015)
Alexander V. Bernstein, Alexander P. Kuleshov
Low-Dimensional Data Representation in Data Analysis. ANNPR (2014)
Alexander P. Kuleshov, Alexander V. Bernstein
Manifold Learning in Data Mining Tasks. MLDM (2014)
Alexander V. Bernstein, Alexander P. Kuleshov
Dimensionality Reduction in Statistical Learning. ICMLA (2014)
Alexander V. Bernstein, Alexander P. Kuleshov
Manifold Learning: Generalization Ability and Tangent Proximity. Int. J. Softw. Informatics 7 (3) (2013)
Alexander P. Kuleshov, Alexander V. Bernstein
Tangent bundle Manifold Learning for image analysis. ICMV (2013)
Alexander V. Bernstein, Alexander P. Kuleshov
Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps CoRR (2012)
Alexander V. Bernstein, Alexander P. Kuleshov
Optimal filtering of a random background in image processing problems. Probl. Inf. Transm. 44 (3) (2008)