Przemyslaw Klesk

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Ground Penetrating Radar

Pairwise Comparison

Reduce The Computational Cost

Top Venues

Publications

Dariusz Sychel, Aneta Bera, Przemyslaw Klesk
Cascade Training as a Tree Search with Dijkstra's Algorithm. ICCS (2) (2024)
Aneta Bera, Dariusz Sychel, Przemyslaw Klesk
Rotationally Invariant Object Detection on Video Using Zernike Moments Backed with Integral Images and Frame Skipping Technique. ICCS (2) (2024)
Przemyslaw Klesk
FastRealBoostBins: An ensemble classifier for fast predictions implemented in Python via numba.jit and numba.cuda. SoftwareX 26 (2024)
Przemyslaw Klesk, Aneta Bera, Dariusz Sychel
Extended Zernike invariants backed with complex-valued integral images for detection tasks. KES (2021)
Przemyslaw Klesk, Marcin Korzen
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. 32 (9) (2021)
Przemyslaw Klesk
Logarithmic Least Squares criterion revisited for general matrices of pairwise comparisons. KES (2021)
Dariusz Sychel, Przemyslaw Klesk, Aneta Bera
Branch-and-Bound Search for Training Cascades of Classifiers. ICCS (4) (2020)
Przemyslaw Klesk, Aneta Bera, Dariusz Sychel
Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images. ICCS (3) (2020)
Dariusz Sychel, Przemyslaw Klesk, Aneta Bera
Relaxed Per-Stage Requirements for Training Cascades of Classifiers. ECAI (2020)
Przemyslaw Klesk
From Synthetic Images Towards Detectors of Real Objects: A Case Study on Road Sign Detection. ICAISC (2) (2019)
Aneta Bera, Przemyslaw Klesk, Dariusz Sychel
Constant-Time Calculation of Zernike Moments for Detection with Rotational Invariance. IEEE Trans. Pattern Anal. Mach. Intell. 41 (3) (2019)
Przemyslaw Klesk, Aneta Bera
Constant-time Extraction of Statistical Moments for Object Detection Procedures. ICPRAM (2018)
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
Statistical moments calculated via integral images in application to landmine detection from Ground Penetrating Radar 3D scans. Pattern Anal. Appl. 21 (3) (2018)
Dariusz Sychel, Przemyslaw Klesk, Aneta Bera
Notes on Expected Computational Cost of Classifiers Cascade: A Geometric View. ICPRAM (2018)
Przemyslaw Klesk
Constant-Time Fourier Moments for Face Detection - Can Accuracy of Haar-Like Features Be Beaten? ICAISC (1) (2017)
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
Fast Extraction of 3D Fourier Moments via Multiple Integral Images: An Application to Antitank Mine Detection in GPR C-Scans. ICCVG (2016)
Przemyslaw Klesk
Quick Real-Boost with: Weight Trimming, Exponential Impurity, Bins, and Pruning. ICAISC (1) (2016)
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
A Comparison of Shallow Decision Trees Under Real-Boost Procedure with Application to Landmine Detection Using Ground Penetrating Radar. ICAISC (1) (2015)
Przemyslaw Klesk, Andrzej Godziuk, Mariusz Kapruziak, Bogdan Olech
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. 53 (7) (2015)
Przemyslaw Klesk, Mariusz Kapruziak, Bogdan Olech
Boosted Classifiers for Antitank Mine Detection in C-Scans from Ground-Penetrating Radar. ACS (2014)
Marcin Korzen, Szymon Jaroszewicz, Przemyslaw Klesk
Logistic regression with weight grouping priors. Comput. Stat. Data Anal. 64 (2013)
Przemyslaw Klesk, Andrzej Godziuk, Mariusz Kapruziak, Bogdan Olech
Landmine Detection in 3D Images from Ground Penetrating Radar Using Haar-Like Features. ICAISC (1) (2013)
Przemyslaw Klesk
Probabilistic Estimation of Vapnik-Chervonenkis Dimension. ICAART (1) (2012)
Marcin Korzen, Przemyslaw Klesk
Sample Complexity of Linear Learning Machines with Different Restrictions over Weights. ICAISC (2) (2012)
Przemyslaw Klesk
A Comparison of Complexity Selection Approaches for Polynomials Based on: Vapnik-Chervonenkis Dimension, Rademacher Complexity and Covering Numbers. ICAISC (2) (2012)
Przemyslaw Klesk, Marcin Korzen
Sets of approximating functions with finite Vapnik-Chervonenkis dimension for nearest-neighbors algorithms. Pattern Recognit. Lett. 32 (14) (2011)
Przemyslaw Klesk
A Relationship between Cross-validation and Vapnik Bounds on Generalization of Learning Machines. ICAART (1) (2011)
Przemyslaw Klesk
Probabilistic Connection between Cross-Validation and Vapnik Bounds. ICAART (Revised Selected Papers) (2011)
Przemyslaw Klesk, Antoni Wilinski
Market Trajectory Recognition and Trajectory Prediction Using Markov Models. ICAISC (1) (2010)
Przemyslaw Klesk
Probabilities of discrepancy between minima of cross-validation, Vapnik bounds and true risks. Int. J. Appl. Math. Comput. Sci. 20 (3) (2010)
Marcin Korzen, Przemyslaw Klesk
Maximal Margin Estimation with Perceptron-Like Algorithm. ICAISC (2008)