Przemyslaw Klesk

35 papers A 1B 2C 2Misc 2Journal 9Unranked 17
YearRankTypeTitle / Venue / Authors
2025 — conf
Double Q-Learning for a Simple Parking Problem: Propositions of Reward Functions and State Representations.
ICAART (1)
Przemyslaw Klesk
2025 J jnl
MCTS-NC: A thorough GPU parallelization of Monte Carlo Tree Search implemented in Python via numba.cuda.
SoftwareX
Przemyslaw Klesk
2024 — conf
Cascade Training as a Tree Search with Dijkstra's Algorithm.
ICCS (2)
Dariusz Sychel, Aneta Bera, Przemyslaw Klesk
2024 J jnl
FastRealBoostBins: An ensemble classifier for fast predictions implemented in Python via numba.jit and numba.cuda.
SoftwareX
Przemyslaw Klesk
2024 — conf
Rotationally Invariant Object Detection on Video Using Zernike Moments Backed with Integral Images and Frame Skipping Technique.
ICCS (2)
Aneta Bera, Dariusz Sychel, Przemyslaw Klesk
2021 J jnl
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.
Przemyslaw Klesk, Marcin Korzen
2021 B conf
Extended Zernike invariants backed with complex-valued integral images for detection tasks.
KES
Przemyslaw Klesk, Aneta Bera, Dariusz Sychel
2021 B conf
Logarithmic Least Squares criterion revisited for general matrices of pairwise comparisons.
KES
Przemyslaw Klesk
2020 — conf
Branch-and-Bound Search for Training Cascades of Classifiers.
ICCS (4)
Dariusz Sychel, Przemyslaw Klesk, Aneta Bera
2020 — conf
Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images.
ICCS (3)
Przemyslaw Klesk, Aneta Bera, Dariusz Sychel
2020 A conf
Relaxed Per-Stage Requirements for Training Cascades of Classifiers.
ECAI
Dariusz Sychel, Przemyslaw Klesk, Aneta Bera
2019 J jnl
Constant-Time Calculation of Zernike Moments for Detection with Rotational Invariance.
IEEE Trans. Pattern Anal. Mach. Intell.
Aneta Bera, Przemyslaw Klesk, Dariusz Sychel
2019 — conf
From Synthetic Images Towards Detectors of Real Objects: A Case Study on Road Sign Detection.
ICAISC (2)
Przemyslaw Klesk
2018 C conf
Constant-time Extraction of Statistical Moments for Object Detection Procedures.
ICPRAM
Przemyslaw Klesk, Aneta Bera
2018 C conf
Notes on Expected Computational Cost of Classifiers Cascade: A Geometric View.
ICPRAM
Dariusz Sychel, Przemyslaw Klesk, Aneta Bera
2018 J jnl
Statistical moments calculated via integral images in application to landmine detection from Ground Penetrating Radar 3D scans.
Pattern Anal. Appl.
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
2017 — conf
Constant-Time Fourier Moments for Face Detection - Can Accuracy of Haar-Like Features Be Beaten?
ICAISC (1)
Przemyslaw Klesk
2016 Misc conf
Fast Extraction of 3D Fourier Moments via Multiple Integral Images: An Application to Antitank Mine Detection in GPR C-Scans.
ICCVG
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
2016 — conf
Quick Real-Boost with: Weight Trimming, Exponential Impurity, Bins, and Pruning.
ICAISC (1)
Przemyslaw Klesk
2015 — conf
A Comparison of Shallow Decision Trees Under Real-Boost Procedure with Application to Landmine Detection Using Ground Penetrating Radar.
ICAISC (1)
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
2015 J jnl
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.
Przemyslaw Klesk, Andrzej Godziuk, Mariusz Kapruziak, Bogdan Olech
2014 — conf
Boosted Classifiers for Antitank Mine Detection in C-Scans from Ground-Penetrating Radar.
ACS
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
2013 — conf
Landmine Detection in 3D Images from Ground Penetrating Radar Using Haar-Like Features.
ICAISC (1)
Przemyslaw Klesk, Andrzej Godziuk, Mariusz Kapruziak, Bogdan Olech
2013 J jnl
Logistic regression with weight grouping priors.
Comput. Stat. Data Anal.
Marcin Korzen, Szymon Jaroszewicz, Przemyslaw Klesk
2012 — conf
A Comparison of Complexity Selection Approaches for Polynomials Based on: Vapnik-Chervonenkis Dimension, Rademacher Complexity and Covering Numbers.
ICAISC (2)
Przemyslaw Klesk
2012 — conf
Probabilistic Estimation of Vapnik-Chervonenkis Dimension.
ICAART (1)
Przemyslaw Klesk
2012 — conf
Sample Complexity of Linear Learning Machines with Different Restrictions over Weights.
ICAISC (2)
Marcin Korzen, Przemyslaw Klesk
2011 — conf
A Relationship between Cross-validation and Vapnik Bounds on Generalization of Learning Machines.
ICAART (1)
Przemyslaw Klesk
2011 — conf
Probabilistic Connection between Cross-Validation and Vapnik Bounds.
ICAART (Revised Selected Papers)
Przemyslaw Klesk
2011 J jnl
Sets of approximating functions with finite Vapnik-Chervonenkis dimension for nearest-neighbors algorithms.
Pattern Recognit. Lett.
Przemyslaw Klesk, Marcin Korzen
2010 — conf
Market Trajectory Recognition and Trajectory Prediction Using Markov Models.
ICAISC (1)
Przemyslaw Klesk, Antoni Wilinski
2010 J jnl
Probabilities of discrepancy between minima of cross-validation, Vapnik bounds and true risks.
Int. J. Appl. Math. Comput. Sci.
Przemyslaw Klesk
2008 Misc conf
Maximal Margin Estimation with Perceptron-Like Algorithm.
ICAISC
Marcin Korzen, Przemyslaw Klesk
2005 — ch.
Algorithm for Automatic Definition of Validated and Non-Validated Region in Multi-Dimensional Space.
Enhanced Methods in Computer Security, Biometric and Artificial Intelligence Systems
Przemyslaw Klesk
2005 — ch.
The Jeep Problem, searching for the best strategy with a genetic algorithm.
Information Processing and Security Systems
Przemyslaw Klesk