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Przemysław Klęsk
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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
462015
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
322019
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
242011
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
122018
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
92008
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
82015
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
72008
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
62017
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
52013
Market trajectory recognition and trajectory prediction using Markov models
P Klęsk, A Wiliński
Artificial Intelligence and Soft Computing: 10th International Conference …, 2010
52010
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
52005
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
42021
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
42017
The Jeep Problem, searching for the best strategy with a genetic algorithm
P Klęsk
Information Processing and Security Systems, 453-464, 2005
32005
Branch-and-bound search for training cascades of classifiers
D Sychel, P Klęsk, A Bera
International Conference on Computational Science, 18-34, 2020
22020
Relaxed Per-Stage Requirements for Training Cascades of Classifiers
D Sychel, P Klesk, A Bera
ECAI 2020, 1523-1530, 2020
22020
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
22016
Logistic regression with weight grouping priors
M Korzeń, S Jaroszewicz, P Klęsk
Computational statistics & data analysis 64, 281-298, 2013
22013
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
22013
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