Pavel Polyakov

According to our database, Pavel Polyakov authored at least 28 papers between 2005 and 2018.

Collaborative distances:

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

2018

Voronoi-based Path Planning based on Visibility and Kill/Death RatioTactical Component.

Ilya Makarov, Pavel Polyakov, Roman Karpichev

Proceedings of the Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5, 2018

2017

Статистическая модель для распознавания смыслов в текстах иностранного языка с обучением на примерах из параллельных текстов (Statistical Model for Recognition of Senses in Foreign Language Texts Trained by Examples from Parallel Texts).

Alexander Ermakov, Pavel Polyakov

Proceedings of the Selected Papers of the XIX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), 2017

Depth Map Interpolation Using Perceptual Loss.

Ilya Makarov, Vladimir Aliev, Olga Gerasimova, Pavel Polyakov

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Adapting First-Person Shooter Video Game for Playing with Virtual Reality Headsets.

Ilya Makarov, Oleg Konoplia, Pavel Polyakov, Maxim Martynov, Peter Zyuzin, Olga Gerasimova, Valeria Bodishtianu

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.

Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov

IEEE Trans. Neural Networks Learn. Syst., 2016

First-Person Shooter Game for Virtual Reality Headset with Advanced Multi-Agent Intelligent System.

Ilya Makarov, Mikhail Tokmakov, Pavel Polyakov, Peter Zyuzin, Maxim Martynov, Oleg Konoplya, George Kuznetsov, Ivan Guschenko-Cheverda, Maxim Uriev, Ivan Mokeev, Olga Gerasimova, Lada Tokmakova, Alexey Kosmachev

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Modelling Human-like Behavior through Reward-based Approach in a First-Person Shooter Game.

Ilya Makarov, Peter Zyuzin, Pavel Polyakov, Mikhail Tokmakov, Olga Gerasimova, Ivan Guschenko-Cheverda, Maxim Uriev

Proceedings of the Third Workshop on Experimental Economics and Machine Learning co-located with the 13th International Conference on Concept Lattices and Their Applications (CLA 2016), 2016

Smoothing Voronoi-Based Path with Minimized Length and Visibility Using Composite Bezier Curves.

Ilya Makarov, Pavel Polyakov

Proceedings of the Supplementary Proceedings of the Fifth International Conference on Analysis of Images, 2016

2015

Experiment in building an automatic object-oriented sentiment detection system based on the syntactic and semantic analyzer.

Pavel Polyakov, Mariya Kalinina, Vladimir Pleshko

Russ. Digit. Libr. J., 2015

2014

New BFA method based on attractor neural network and likelihood maximization.

Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov, Václav Snásel

Neurocomputing, 2014

Two Expectation-Maximization algorithms for Boolean Factor Analysis.

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov

Neurocomputing, 2014

2012

Attractor Neural Network Combined with Likelihood Maximization Algorithm for Boolean Factor Analysis.

Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

BFA and BMF: What is the difference.

Alexander A. Frolov, Ajith Abraham, Pavel Yu. Polyakov, Dusan Húsek, Hana Rezanková

Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

2011

Expectation-maximization approach to Boolean factor analysis.

Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Boolean Factor Analysis by Expectation-Maximization Method.

Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov

Proceedings of the Third International Conference on Intelligent Human Computer Interaction (IHCI 2011), 2011

New Measure of Boolean Factor Analysis Quality.

Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010

Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis.

Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov

Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Origin and elimination of two global spurious attractors in Hopfield-like neural network performing Boolean factor analysis.

Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Polyakov

Neurocomputing, 2010

2009

Recurrent-Neural-Network-Based Boolean Factor Analysis and Its Application to Word Clustering.

Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov

IEEE Trans. Neural Networks, 2009

2008

Clustering variables by classical approaches and neural network Boolean factor analysis.

Alexander A. Frolov, Dusan Húsek, Hana Rezanková, Václav Snásel, Pavel Polyakov

Proceedings of the International Joint Conference on Neural Networks, 2008

Some Remarks on Binary Data Grouping.

Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Václav Snásel, Pavel Yu. Polyakov

Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008

2007

Boolean Factor Analysis by Attractor Neural Network.

Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov

IEEE Trans. Neural Networks, 2007

Comparison of Neural Network Boolean Factor Analysis Method with Some Other Dimension Reduction Methods on Bars Problem.

Dusan Húsek, Pavel Moravec, Václav Snásel, Alexander A. Frolov, Hana Rezanková, Pavel Polyakov

Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Bars Problem Solving - New Neural Network Method and Comparison.

Václav Snásel, Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Pavel Moravec, Pavel Polyakov

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Pattern Discovery for High-Dimensional Binary Datasets.

Václav Snásel, Pavel Moravec, Dusan Húsek, Alexander A. Frolov, Hana Rezanková, Pavel Polyakov

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Image Analysis by Methods of Dimension Reduction.

Pavel Moravec, Václav Snásel, Alexander A. Frolov, Dusan Húsek, Hana Rezanková, Pavel Polyakov

Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007

2006

New Neural Network Based Approach Helps to Discover Hidden Russian Parliament Voting Patterns.

Alexander A. Frolov, Dusan Húsek, Pavel Polyakov, Hana Rezanková

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

Neural network nonlinear factor analysis of high dimensional binary signals.

Dusan Húsek, Hana Rezanková, Václav Snásel, Alexander A. Frolov, Pavel Polyakov

Proceedings of the 1st International Conference on Signal-Image Technology and Internet-Based Systems, 2005