Przemyslaw Klesk

Orcid: 0000-0002-5579-187X

According to our database1, Przemyslaw Klesk authored at least 33 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FastRealBoostBins: An ensemble classifier for fast predictions implemented in Python via numba.jit and numba.cuda.
SoftwareX, 2024

Cascade Training as a Tree Search with Dijkstra's Algorithm.
Proceedings of the Computational Science - ICCS 2024, 2024

Rotationally Invariant Object Detection on Video Using Zernike Moments Backed with Integral Images and Frame Skipping Technique.
Proceedings of the Computational Science - ICCS 2024, 2024

2021
Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM.
IEEE Trans. Neural Networks Learn. Syst., 2021

Extended Zernike invariants backed with complex-valued integral images for detection tasks.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Logarithmic Least Squares criterion revisited for general matrices of pairwise comparisons.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020
Branch-and-Bound Search for Training Cascades of Classifiers.
Proceedings of the Computational Science - ICCS 2020, 2020

Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images.
Proceedings of the Computational Science - ICCS 2020, 2020

Relaxed Per-Stage Requirements for Training Cascades of Classifiers.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Constant-Time Calculation of Zernike Moments for Detection with Rotational Invariance.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

From Synthetic Images Towards Detectors of Real Objects: A Case Study on Road Sign Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Statistical moments calculated via integral images in application to landmine detection from Ground Penetrating Radar 3D scans.
Pattern Anal. Appl., 2018

Notes on Expected Computational Cost of Classifiers Cascade: A Geometric View.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Constant-time Extraction of Statistical Moments for Object Detection Procedures.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017
Constant-Time Fourier Moments for Face Detection - Can Accuracy of Haar-Like Features Be Beaten?
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
Fast Extraction of 3D Fourier Moments via Multiple Integral Images: An Application to Antitank Mine Detection in GPR C-Scans.
Proceedings of the Computer Vision and Graphics - International Conference, 2016

Quick Real-Boost with: Weight Trimming, Exponential Impurity, Bins, and Pruning.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
Fast Analysis of C-Scans From Ground Penetrating Radar via 3-D Haar-Like Features With Application to Landmine Detection.
IEEE Trans. Geosci. Remote. Sens., 2015

A Comparison of Shallow Decision Trees Under Real-Boost Procedure with Application to Landmine Detection Using Ground Penetrating Radar.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
Boosted Classifiers for Antitank Mine Detection in C-Scans from Ground-Penetrating Radar.
Proceedings of the Soft Computing in Computer and Information Science, 2014

2013
Logistic regression with weight grouping priors.
Comput. Stat. Data Anal., 2013

Landmine Detection in 3D Images from Ground Penetrating Radar Using Haar-Like Features.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Sample Complexity of Linear Learning Machines with Different Restrictions over Weights.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

A Comparison of Complexity Selection Approaches for Polynomials Based on: Vapnik-Chervonenkis Dimension, Rademacher Complexity and Covering Numbers.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Probabilistic Estimation of Vapnik-Chervonenkis Dimension.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

2011
Sets of approximating functions with finite Vapnik-Chervonenkis dimension for nearest-neighbors algorithms.
Pattern Recognit. Lett., 2011

Probabilistic Connection between Cross-Validation and Vapnik Bounds.
Proceedings of the Agents and Artificial Intelligence - Third International Conference, 2011

A Relationship between Cross-validation and Vapnik Bounds on Generalization of Learning Machines.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010
Probabilities of discrepancy between minima of cross-validation, Vapnik bounds and true risks.
Int. J. Appl. Math. Comput. Sci., 2010

Market Trajectory Recognition and Trajectory Prediction Using Markov Models.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2008
Maximal Margin Estimation with Perceptron-Like Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2005
Algorithm for Automatic Definition of Validated and Non-Validated Region in Multi-Dimensional Space.
Proceedings of the Enhanced Methods in Computer Security, 2005

The Jeep Problem, searching for the best strategy with a genetic algorithm.
Proceedings of the Information Processing and Security Systems., 2005


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