Fast analysis of C-scans from ground penetrating radar via 3-D Haar-like features with application to landmine detection P Klęsk, A Godziuk, M Kapruziak, B Olech IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3996-4009, 2015 | 46 | 2015 |
Constant-time Calculation of Zernike Moments for Detection with Rotational Invariance A Bera, P Klęsk, D Sychel IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (3), 537-551, 2019 | 32 | 2019 |
Sets of approximating functions with finite Vapnik–Chervonenkis dimension for nearest-neighbors algorithms P Klęsk, M Korzeń Pattern Recognition Letters 32 (14), 1882-1893, 2011 | 24 | 2011 |
Statistical moments calculated via integral images in application to landmine detection from Ground Penetrating Radar 3D scans P Klęsk, M Kapruziak, B Olech Pattern Analysis and Applications 21 (3), 671-684, 2018 | 12 | 2018 |
Construction of a Neurofuzzy Network Capable of Extrapolating (and Interpolating) With Respect to the Convex Hull of a Set of Input Samples in Rn P Klęsk IEEE Transactions on Fuzzy Systems 16 (5), 1161-1179, 2008 | 9 | 2008 |
Boosted classifiers for antitank mine detection in C-scans from ground-penetrating radar P Klęsk, M Kapruziak, B Olech Soft Computing in Computer and Information Science, 11-25, 2015 | 8 | 2015 |
A systematic evaluation and benchmark for person re-identification: features, metrics, and datasets S Karanam, M Gou, Z Wu, A Rates-Borras, O Camps, RJ Radke, A Bera, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 0 | 8 | |
Maximal margin estimation with perceptron-like algorithm M Korzeń, P Klęsk Artificial Intelligence and Soft Computing–ICAISC 2008: 9th International …, 2008 | 7 | 2008 |
Constant-Time Fourier Moments for Face Detection — Can Accuracy of Haar-Like Features Be Beaten? P Klęsk Artificial Intelligence and Soft Computing: 16th International Conference …, 2017 | 6 | 2017 |
Skew-t Fits to Mortality Data—Can a Gaussian-Related Distribution Replace the Gompertz–Makeham as the Basis for Mortality Studies? JSC Clark, M Kaczmarczyk, Z Mongiało, P Ignaczak, AA Czajkowski, ... Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences …, 2013 | 5 | 2013 |
Market trajectory recognition and trajectory prediction using Markov models P Klęsk, A Wiliński Artificial Intelligence and Soft Computing: 10th International Conference …, 2010 | 5 | 2010 |
Algorithm for automatic definition of validated and non-validated region in multi-dimensional space P Klęsk Enhanced Methods in Computer Security, Biometric and Artificial Intelligence …, 2005 | 5 | 2005 |
Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM P Klęsk, M Korzeń IEEE Transactions on Neural Networks and Learning Systems, 2021 | 4 | 2021 |
FPGA implementation of logarithmic versions of Baum-Welch and Viterbi algorithms for reduced precision hidden Markov models M Pietras, P Klęsk Bulletin of the Polish Academy of Sciences. Technical Sciences 65 (6), 935-946, 2017 | 4 | 2017 |
The Jeep Problem, searching for the best strategy with a genetic algorithm P Klęsk Information Processing and Security Systems, 453-464, 2005 | 3 | 2005 |
Branch-and-bound search for training cascades of classifiers D Sychel, P Klęsk, A Bera International Conference on Computational Science, 18-34, 2020 | 2 | 2020 |
Relaxed Per-Stage Requirements for Training Cascades of Classifiers D Sychel, P Klesk, A Bera ECAI 2020, 1523-1530, 2020 | 2 | 2020 |
Fast extraction of 3D fourier moments via multiple integral images: an application to antitank mine detection in GPR C-Scans P Klęsk, M Kapruziak, B Olech Computer Vision and Graphics: International Conference, ICCVG 2016, Warsaw …, 2016 | 2 | 2016 |
Logistic regression with weight grouping priors M Korzeń, S Jaroszewicz, P Klęsk Computational statistics & data analysis 64, 281-298, 2013 | 2 | 2013 |
Landmine detection in 3D images from ground penetrating radar using Haar-like features P Klęsk, A Godziuk, M Kapruziak, B Olech International Conference on Artificial Intelligence and Soft Computing, 559-567, 2013 | 2 | 2013 |