Alexander P. Kuleshov

According to our database, Alexander P. Kuleshov authored at least 24 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

Andrzej Cichocki, Alexander P. Kuleshov

Comput. Intell. Neurosci., 2021

2018

Kernel Regression on Manifold Valued Data.

Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Conformal prediction in manifold learning.

Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

Manifold Learning Regression with Non-stationary Kernels.

Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017

Nonlinear multi-output regression on unknown input manifold.

Alexander P. Kuleshov, Alexander Bernstein

Ann. Math. Artif. Intell., 2017

Mobile Robot Localization via Machine Learning.

Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2017

Machine Learning in Appearance-Based Robot Self-Localization.

Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

High-Dimensional Density Estimation for Data Mining Tasks.

Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Statistical Learning on Manifold-Valued Data.

Alexander P. Kuleshov, Alexander V. Bernstein

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Regression on High-Dimensional Inputs.

Alexander P. Kuleshov, Alexander V. Bernstein

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Extended Regression on Manifolds Estimation.

Alexander P. Kuleshov, Alexander V. Bernstein

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

Incremental Construction of Low-Dimensional Data Representations.

Alexander P. Kuleshov, Alexander V. Bernstein

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

Manifold Learning in Regression Tasks.

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

Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Locally isometric and conformal parameterization of image manifold.

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

Proceedings of the Eighth International Conference on Machine Vision, 2015

Data-Based Statistical Models of Data Networks.

Alexander P. Kuleshov, Alexander V. Bernstein, Yury Agalakov

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Statistical Learning via Manifold Learning.

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

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

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

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

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Manifold Learning in Data Mining Tasks.

Alexander P. Kuleshov, Alexander V. Bernstein

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Dimensionality Reduction in Statistical Learning.

Alexander V. Bernstein, Alexander P. Kuleshov

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Low-Dimensional Data Representation in Data Analysis.

Alexander V. Bernstein, Alexander P. Kuleshov

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013

Manifold Learning: Generalization Ability and Tangent Proximity.

Alexander V. Bernstein, Alexander P. Kuleshov

Int. J. Softw. Informatics, 2013

Tangent bundle Manifold Learning for image analysis.

Alexander P. Kuleshov, Alexander V. Bernstein

Proceedings of the Sixth International Conference on Machine Vision, 2013

2012

Tangent Bundle Manifold Learning via Grassmann&Stiefel Eigenmaps

Alexander V. Bernstein, Alexander P. Kuleshov

CoRR, 2012

2008

Optimal filtering of a random background in image processing problems.

Alexander V. Bernstein, Alexander P. Kuleshov

Probl. Inf. Transm., 2008