Alexander V. Bernstein

发表

Extended Regression on Manifolds Estimation

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

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.

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.

Reinforcement Learning for Computer Vision and Robot Navigation

Evgeny Burnaev, Alexander V. Bernstein, O. N. Kachan, 2018, MLDM.

Regression on High-Dimensional Inputs

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

Statistical Learning on Manifold-Valued Data

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

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..

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.