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2020 – today
- 2024
[j28]Stanislaw Lazewski, Boguslaw Cyganek
:
Highly compressed image representation for classification and content retrieval. Integr. Comput. Aided Eng. 31(3): 267-284 (2024)- [j27]Jan Gasienica-Józkowy, Boguslaw Cyganek, Mateusz Knapik, Szymon Glogowski, Lukasz Przebinda:
Deep Learning-Based Monocular Estimation of Distance and Height for Edge Devices. Inf. 15(8): 474 (2024) - 2023
- [c110]Tomasz Balon, Mateusz Knapik, Boguslaw Cyganek:
Real-Time Detection of Small Objects in Automotive Thermal Images with Modern Deep Neural Architectures. FedCSIS (Communication Papers) 2023: 29-35 - [c109]Jan Gasienica-Józkowy, Boguslaw Cyganek, Mateusz Knapik, Szymon Glogowski, Lukasz Przebinda:
Estimation of absolute distance and height of people based on monocular view and deep neural networks for edge devices operating in the visible and thermal spectra. FedCSIS 2023: 503-511 - 2022
- [c108]Marcin S. Szczuka, Andrzej Janusz, Boguslaw Cyganek, Jakub Grabek, Lukasz Przebinda, Andzelika Zalewska, Andrzej Bukala, Dominik Slezak:
IEEE BigData Cup 2022 Report Privacy-preserving Matching of Encrypted Images. IEEE Big Data 2022: 6471-6480 - [c107]Boguslaw Cyganek:
Modern C++ in the era of new technologies and challenges - why and how to teach modern C++? FedCSIS 2022: 35-40 - [c106]Tomasz Balon, Mateusz Knapik, Boguslaw Cyganek:
New Thermal Automotive Dataset for Object Detection. FedCSIS (Position Papers) 2022: 43-48 - [c105]Boguslaw Cyganek:
Small Footprint Embedded Systems Paradigm Based on a Novel and Scalable Implementation of FORTH. FedCSIS (Position Papers) 2022: 123-130 - 2021
- [j26]Jan Gasienica-Józkowy, Mateusz Knapik, Boguslaw Cyganek:
An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance. Integr. Comput. Aided Eng. 28(3): 221-235 (2021) - [j25]Mateusz Knapik, Boguslaw Cyganek:
Fast eyes detection in thermal images. Multim. Tools Appl. 80(3): 3601-3621 (2021) - [j24]Jakub Drzazga, Boguslaw Cyganek:
An LSTM Network for Apnea and Hypopnea Episodes Detection in Respiratory Signals. Sensors 21(17): 5858 (2021) - [c104]Jakub Grabek, Boguslaw Cyganek:
An impact of tensor-based data compression methods on deep neural network accuracy. FedCSIS (Position Papers) 2021: 3-11 - [i1]Michal Koziarski, Boguslaw Cyganek, Boguslaw Olborski, Zbigniew Antosz, Marcin Zydak, Bogdan Kwolek, Pawel Wasowicz, Andrzej Bukala, Jakub Swadzba, Piotr Sitkowski:
DiagSet: a dataset for prostate cancer histopathological image classification. CoRR abs/2105.04014 (2021) - 2020
- [j23]Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara:
A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images. J. Univers. Comput. Sci. 26(4): 454-478 (2020) - [c103]Boguslaw Cyganek:
Privacy Preserving Real-Time Video Stream Change Detection Based on the Orthogonal Tensor Decomposition Models. RCIS 2020: 490-499 - [c102]Andrzej Bukala, Boguslaw Cyganek, Michal Koziarski, Bogdan Kwolek, Boguslaw Olborski, Zbigniew Antosz, Jakub Swadzba, Piotr Sitkowski:
Classification of Histopathological Images using Scale-Invariant Feature Transform. VISIGRAPP (5: VISAPP) 2020: 506-512 - [c101]Michal Koziarski, Boguslaw Cyganek, Kazimierz Wiatr:
The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition. VISIGRAPP (4: VISAPP) 2020: 633-638
2010 – 2019
- 2019
- [j22]Mateusz Knapik, Boguslaw Cyganek:
Driver's fatigue recognition based on yawn detection in thermal images. Neurocomputing 338: 274-292 (2019) - [j21]Pawel Ksieniewicz, Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak:
Data stream classification using active learned neural networks. Neurocomputing 353: 74-82 (2019) - [j20]Jakub Grabek, Boguslaw Cyganek:
Speckle Noise Filtering in Side-Scan Sonar Images Based on the Tucker Tensor Decomposition. Sensors 19(13): 2903 (2019) - [j19]Boguslaw Cyganek:
Thumbnail Tensor - A Method for Multidimensional Data Streams Clustering with an Efficient Tensor Subspace Model in the Scale-Space. Sensors 19(19): 4088 (2019) - [c100]Bogdan Kwolek, Michal Koziarski, Andrzej Bukala, Zbigniew Antosz, Boguslaw Olborski, Pawel Wasowicz, Jakub Swadzba, Boguslaw Cyganek:
Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network. ICANN (Workshop) 2019: 299-312 - [c99]Boguslaw Cyganek:
Overview of Tensor Methods for Multi-dimensional Signals Change Detection and Compression. IP&C 2019: 3-5 - [c98]Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara:
The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients. IP&C 2019: 166-178 - [c97]Boguslaw Cyganek, Kazimierz Wiatr:
How orthogonal are we? A note on fast and accurate inner product computation in the floating-point arithmetic. SA 2019: 1-8 - [c96]Mateusz Knapik, Boguslaw Cyganek:
Evaluation of Deep Learning Strategies for Underwater Object Search. SA 2019: 1-6 - [c95]Mateusz Knapik, Boguslaw Cyganek:
Comparison of Sparse Image Descriptors for Eyes Detection in Thermal Images. VISIGRAPP (5: VISAPP) 2019: 638-644 - 2018
- [j18]Michal Koziarski, Boguslaw Cyganek:
Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study. Int. J. Appl. Math. Comput. Sci. 28(4): 735-744 (2018) - [j17]Boguslaw Cyganek, Karol Gongola:
Real-time marine snow noise removal from underwater video sequences. J. Electronic Imaging 27(04): 043002 (2018) - [c94]Boguslaw Cyganek:
Change Detection in Multidimensional Data Streams with Efficient Tensor Subspace Model. HAIS 2018: 694-705 - [c93]Michal Koziarski, Bogdan Kwolek, Boguslaw Cyganek:
Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance. FFER/DLPR@ICPR 2018: 1-11 - [c92]Michal Koziarski, Boguslaw Cyganek:
Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter. CVAUI/IWCF/MIPPSNA@ICPR 2018: 16-25 - [c91]Boguslaw Cyganek:
Parallel Algorithms for Multidimensional Data Streams Analysis with Tensor Subspace Models. HPCS 2018: 865-868 - [c90]Boguslaw Cyganek, Kazimierz Wiatr:
Design of a Visual Front-End for Parallel Signal Processing on Underwater Search Drone. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 1046-1047 - [c89]Boguslaw Cyganek:
Modern Approaches to Multi-dimensional Visual Signals Analysis. MISSI 2018: 5-6 - 2017
- [j16]Michal Koziarski, Boguslaw Cyganek:
Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions. Integr. Comput. Aided Eng. 24(4): 337-349 (2017) - [j15]Boguslaw Cyganek, Michal Wozniak:
Tensor-Based Shot Boundary Detection in Video Streams. New Gener. Comput. 35(4): 311-340 (2017) - [j14]Konrad Jackowski, Boguslaw Cyganek:
A learning-based colour image segmentation with extended and compact structural tensor feature representation. Pattern Anal. Appl. 20(2): 401-414 (2017) - [j13]Bartosz Krawczyk, Boguslaw Cyganek:
Selecting locally specialised classifiers for one-class classification ensembles. Pattern Anal. Appl. 20(2): 427-439 (2017) - [c88]Boguslaw Cyganek:
Software framework for tensor stream processing on embedded vision platforms. AVSS 2017: 1-6 - [c87]Jakub Nawala, Boguslaw Cyganek:
Real-Time Image Content Assessment for Underwater Robot Manoeuvring Based on Structural Tensor Analysis. CORES 2017: 462-471 - [c86]Boguslaw Cyganek, Michal Wozniak:
Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition. ICAISC (1) 2017: 485-496 - [c85]Boguslaw Cyganek, Maciej Basiura:
Real-Time Vision Based System for Measurement of the Oxyacetylene Welding Parameters. ICCSA (1) 2017: 621-632 - [c84]Boguslaw Cyganek, Michal Wozniak:
A Tensor Framework for Data Stream Clustering and Compression. ICIAP (1) 2017: 163-173 - [c83]Boguslaw Cyganek:
Image and video processing with tensor methods. SPA 2017: 16 - [c82]Boguslaw Cyganek, Michal Wozniak:
On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data. VISIGRAPP (5: VISAPP) 2017: 378-383 - 2016
- [j12]Boguslaw Cyganek, Manuel Graña, Piotr Porwik, Michal Wozniak:
Intelligent Methods Applied to Health-Care Information Systems. Appl. Artif. Intell. 30(6): 495-496 (2016) - [j11]Boguslaw Cyganek, Manuel Graña, Bartosz Krawczyk, Andrzej Kasprzak, Piotr Porwik, Krzysztof Walkowiak, Michal Wozniak:
A Survey of Big Data Issues in Electronic Health Record Analysis. Appl. Artif. Intell. 30(6): 497-520 (2016) - [c81]Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Krzysztof Walkowiak:
Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study. CISIM 2016: 538-549 - [c80]Boguslaw Cyganek, Michal Wozniak:
On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition. CSOC (2) 2016: 193-201 - [c79]Michal Wozniak, Boguslaw Cyganek:
A First Attempt on Online Data Stream Classifier Using Context. DMBD 2016: 497-504 - [c78]Boguslaw Cyganek, Michal Wozniak:
Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces. DMBD 2016: 529-537 - [c77]Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak:
Active Learning Classifier for Streaming Data. HAIS 2016: 186-197 - [c76]Boguslaw Cyganek, Michal Wozniak, Dariusz Jankowski:
Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions. HAIS 2016: 560-571 - [c75]Michal Koziarski, Boguslaw Cyganek:
Examination of the Deep Neural Networks in Classification of Distorted Signals. ICAISC (2) 2016: 680-688 - [c74]Dariusz Jankowski, Konrad Jackowski, Boguslaw Cyganek:
Learning Decision Trees from Data Streams with Concept Drift. ICCS 2016: 1682-1691 - [c73]Boguslaw Cyganek, Michal Wozniak:
Efficient Computation of the Tensor Chordal Kernels. ICCS 2016: 1702-1711 - [c72]Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak:
Active Learning Classification of Drifted Streaming Data. ICCS 2016: 1724-1733 - [c71]Michal Koziarski, Boguslaw Cyganek:
Deep Neural Image Denoising. ICCVG 2016: 163-173 - [c70]Boguslaw Cyganek, Bogdan Smolka:
Real-time framework for tensor-based image enhancement for object classification. Real-Time Image and Video Processing 2016: 98970Q - [c69]Damian Kusnik, Bogdan Smolka, Boguslaw Cyganek:
Application of the local similarity filter for the suppression of multiplicative noise in medical ultrasound images. Real-Time Image and Video Processing 2016: 989704 - 2015
- [j10]Boguslaw Cyganek, Bartosz Krawczyk, Michal Wozniak:
Multidimensional data classification with chordal distance based kernel and Support Vector Machines. Eng. Appl. Artif. Intell. 46: 10-22 (2015) - [j9]Boguslaw Cyganek, Michal Wozniak:
An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition. New Gener. Comput. 33(4): 389-408 (2015) - [j8]Boguslaw Cyganek:
Hybrid ensemble of classifiers for logo and trademark symbols recognition. Soft Comput. 19(12): 3413-3430 (2015) - [c68]Boguslaw Cyganek, Bartosz Krawczyk:
Data Classification with Ensembles of One-Class Support Vector Machines and Sparse Nonnegative Matrix Factorization. ACIIDS (1) 2015: 526-535 - [c67]Boguslaw Cyganek, Michal Wozniak:
Tensor based representation and analysis of the electronic healthcare record data. BIBM 2015: 1383-1390 - [c66]Boguslaw Cyganek, Manuel Graña, Andrzej Kasprzak, Krzysztof Walkowiak, Michal Wozniak:
Selected aspects of electronic health record analysis from the big data perspective. BIBM 2015: 1391-1396 - [c65]Boguslaw Cyganek:
Real-Time Eye Detection and Tracking in the Near-Infrared Video for Drivers' Drowsiness Control. CORES 2015: 481-490 - [c64]Boguslaw Cyganek, Bogdan Smolka:
Real-time object recognition in multidimensional images based on joined extended structural tensor and higher-order tensor decomposition methods. Real-Time Image and Video Processing 2015: 94000T - [c63]Bogdan Smolka, Boguslaw Cyganek:
Impulsive noise suppression in color images based on the geodesic digital paths. Real-Time Image and Video Processing 2015: 94000R - 2014
- [j7]Boguslaw Cyganek, Slawomir Gruszczynski:
Hybrid computer vision system for drivers' eye recognition and fatigue monitoring. Neurocomputing 126: 78-94 (2014) - [j6]Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek:
Clustering-based ensembles for one-class classification. Inf. Sci. 264: 182-195 (2014) - [c62]Michal Wozniak, Piotr Cal, Boguslaw Cyganek:
The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble. ACIIDS (2) 2014: 90-99 - [c61]Boguslaw Cyganek, Michal Wozniak:
Vehicle Logo Recognition with an Ensemble of Classifiers. ACIIDS (2) 2014: 117-126 - [c60]Boguslaw Cyganek:
Object Recognition with the Higher-Order Singular Value Decomposition of the Multi-dimensional Prototype Tensors. CSOC 2014: 395-405 - [c59]Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek:
Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation. HAIS 2014: 678-688 - [c58]Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek:
Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. ICPR 2014: 2838-2843 - [c57]Boguslaw Cyganek, Katarzyna Socha:
Novel Parallel Algorithm for Object Recognition with the Ensemble of Classifiers based on the Higher-Order Singular Value Decomposition of Prototype Pattern Tensors. VISAPP (2) 2014: 648-653 - 2013
- [j5]Rafal Fraczek, Boguslaw Cyganek, Kazimierz Wiatr:
Parallelized Algorithms for Finding Similar Images and Object Recognition. Comput. Sci. 14(1): 113-128 (2013) - [c56]Boguslaw Cyganek, Michal Wozniak:
A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers. ETFA 2013: 1-4 - [c55]Boguslaw Cyganek, Slawomir Gruszczynski:
Eye recognition in near-infrared images for driver's drowsiness monitoring. Intelligent Vehicles Symposium 2013: 397-402 - 2012
- [j4]Boguslaw Cyganek:
One-Class Support Vector Ensembles for Image Segmentation and Classification. J. Math. Imaging Vis. 42(2-3): 103-117 (2012) - [c54]Boguslaw Cyganek:
Embedding of the Extended Euclidean Distance into Pattern Recognition with Higher-Order Singular Value Decomposition of Prototype Tensors. CISIM 2012: 180-190 - [c53]Boguslaw Cyganek:
Ensemble of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition. HAIS (2) 2012: 578-589 - [c52]Boguslaw Cyganek, Michal Wozniak:
Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor. ICCCI (1) 2012: 104-113 - [c51]Boguslaw Cyganek:
A framework for data representation, processing, and dimensionality reduction with the best-rank tensor decomposition. ITI 2012: 325-330 - [c50]Michal Grega, Seweryn Lach, Boguslaw Cyganek:
INSTREET - Application for Urban Photograph Localization. MCSS 2012: 130-138 - [c49]Boguslaw Cyganek, Katarzyna Socha:
A multi-tool for ground-truth stereo correspondence, object outlining and points-of-interest selection. VIGTA@AVI 2012: 4 - [p3]Rafal Fraczek, Boguslaw Cyganek:
Evaluation of Image Descriptors for Retrieval of Similar Images. Intelligent Tools for Building a Scientific Information Platform 2012: 217-226 - 2011
- [c48]Boguslaw Cyganek:
Object Recognition with the HOSVD of the Multi-model Space-Variant Pattern Tensors. CAIP (1) 2011: 435-442 - [c47]Boguslaw Cyganek, Slawomir Gruszczynski:
Visual System for Drivers' Eye Recognition. HAIS (1) 2011: 436-443 - [c46]Boguslaw Cyganek, Kazimierz Wiatr:
Image Contents Annotations with the Ensemble of One-class Support Vector Machines. IJCCI (NCTA) 2011: 277-282 - [c45]Boguslaw Cyganek:
Adding parallelism to the hybrid image processing library in multi-threading and multi-core systems. NESEA 2011: 1-8 - 2010
- [c44]Boguslaw Cyganek:
An Analysis of the Road Signs Classification Based on the Higher-Order Singular Value Decomposition of the Deformable Pattern Tensors. ACIVS (2) 2010: 191-202 - [c43]Boguslaw Cyganek:
Image Segmentation with a Hybrid Ensemble of One-Class Support Vector Machines. HAIS (1) 2010: 254-261 - [c42]Boguslaw Cyganek:
Traffic Scene Segmentation and Robust Filtering for Road Signs Recognition. ICCVG (1) 2010: 292-299 - [c41]Boguslaw Cyganek:
Software Framework for Efficient Tensor Representation and Decompositions for Pattern Recognition in Computer Vision. IP&C 2010: 185-192
2000 – 2009
- 2009
- [c40]Boguslaw Cyganek:
Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method. ICONIP (1) 2009: 399-408 - [p2]Boguslaw Cyganek:
Recognition of Solid Objects in Images Invariant to Conformal Transformations. Computer Recognition Systems 3 2009: 231-238 - 2008
- [j3]Boguslaw Cyganek:
Color Image Segmentation with Support Vector Machines: Applications to Road Signs Detection. Int. J. Neural Syst. 18(4): 339-345 (2008) - [c39]Boguslaw Cyganek:
A Real-Time Vision System for Traffic Signs Recognition Invariant to Translation, Rotation and Scale. ACIVS 2008: 278-289 - [c38]Boguslaw Cyganek:
Real-Time Road Signs Tracking with the Fuzzy Continuously Adaptive Mean Shift Algorithm. ICAISC 2008: 217-228 - [c37]Boguslaw Cyganek:
Neuro-fuzzy System for Road Signs Recognition. ICANN (1) 2008: 503-512 - [c36]Boguslaw Cyganek:
Architecture of an Integrated Software-Hardware System for Accelerated Image Processing. ICCVG 2008: 1-13 - [c35]Boguslaw Cyganek:
Intelligent System for Traffic Signs Recognition in Moving Vehicles. IEA/AIE 2008: 139-148 - [c34]Boguslaw Cyganek:
Road-Signs Recognition System for Intelligent Vehicles. RobVis 2008: 219-233 - [c33]Boguslaw Cyganek:
An Algorithm for Computation of the Scene Geometry by the Log-Polar Area Matching Around Salient Points. SOFSEM 2008: 222-233 - 2007
- [j2]Boguslaw Cyganek:
Circular road signs recognition with soft classifiers. Integr. Comput. Aided Eng. 14(4): 323-343 (2007) - [c32]Boguslaw Cyganek:
Real-Time Detection of the Triangular and Rectangular Shape Road Signs. ACIVS 2007: 744-755 - [c31]Boguslaw Cyganek:
Road Signs Recognition by the Scale-Space Template Matching in the Log-Polar Domain. IbPRIA (1) 2007: 330-337 - [c30]Boguslaw Cyganek:
Circular Road Signs Recognition with Affine Moment Invariants and the Probabilistic Neural Classifier. ICANNGA (2) 2007: 508-516 - [c29]Boguslaw Cyganek:
The Object-Oriented Protocol for Data Exchange and Control in Computational-Diverse Embedded Systems. ICESS 2007: 46-58 - [p1]Boguslaw Cyganek:
Soft System for Road Sign Detection. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 316-326 - 2006
- [c28]Boguslaw Cyganek:
Committee Machine for Road-Signs Classification. ICAISC 2006: 583-592 - [c27]Boguslaw Cyganek:
Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers. ICANN (2) 2006: 558-567 - [c26]Boguslaw Cyganek:
Computational Framework for Family of Order Statistic Filters for Tensor Valued Data. ICIAR (1) 2006: 156-162 - [c25]Boguslaw Cyganek:
Recognition of Road Signs with Mixture of Neural Networks and Arbitration Modules. ISNN (2) 2006: 52-57 - [c24]Boguslaw Cyganek:
Matching of the Multi-channel Images with Improved Nonparametric Transformations and Weighted Binary Distance Measures. IWCIA 2006: 74-88 - 2005
- [c23]Boguslaw Cyganek:
Object Detection in Multi-channel and Multi-scale Images Based on the Structural Tensor. CAIP 2005: 570-578 - [c22]Boguslaw Cyganek:
Adaptive Window Growing Technique for Efficient Image Matching. IbPRIA (1) 2005: 308-315 - [c21]Boguslaw Cyganek:
Artificial Neural Receptive Field for Stereovision. ICANN (1) 2005: 439-445 - [c20]Boguslaw Cyganek:
Machine Efficient Adaptive Image Matching Based on the Nonparametric Transformations. International Conference on Computational Science (1) 2005: 757-765 - 2004
- [c19]Boguslaw Cyganek, Jan Borgosz:
Fuzzy Nonparametric Measures for Image Matching. ICAISC 2004: 712-717 - [c18]Boguslaw Cyganek:
Neural Computation of the Fundamental Matrix. ICAISC 2004: 718-723 - [c17]Jan Borgosz, Boguslaw Cyganek:
Proposal of the Programming Rules for VHDL Designs. International Conference on Computational Science 2004: 507-514 - [c16]Boguslaw Cyganek:
Depth Recovery with an Area Based Version of the Stereo Matching Method with Scale-Space Tensor Representation of Local Neighborhoods. International Conference on Computational Science 2004: 548-551 - [c15]Boguslaw Cyganek, Jan Borgosz:
Control Messaging Channel for Distributed Computer Systems. ICCSA (4) 2004: 261-270 - [c14]Jan Borgosz, Boguslaw Cyganek:
Pseudo-Random Binary Sequences Synchronizer Based on Neural Networks. ICCSA (3) 2004: 715-721 - [c13]Boguslaw Cyganek:
Unsupervised Scale-Space Texture detector in Multi-Channel Images Based on the Structural Tensor. ICCVG 2004: 413-419 - [c12]Boguslaw Cyganek:
Object-Oriented Software Loading and Upgrading Techniques for Embedded and Distributed System. ICESS 2004: 595-600 - [c11]Tomasz Twardowski, Boguslaw Cyganek, Jan Borgosz:
Gradient Based Dense Stereo Matching. ICIAR (1) 2004: 721-728 - [c10]Boguslaw Cyganek:
Comparison of Nonparametric Transformations and Bit Vector Matching for Stereo Correlation. IWCIA 2004: 534-547 - 2003
- [j1]Jan Borgosz, Boguslaw Cyganek:
Wavelet Based Method for an Analysis of Jitter in Telecommunication Signals. Int. J. Wavelets Multiresolution Inf. Process. 1(3): 307-323 (2003) - [c9]Boguslaw Cyganek, Jan Borgosz:
Maximum Disparity Threshold Estimation for Stereo Imaging Systems via Variogram Analysis. International Conference on Computational Science 2003: 591-600 - [c8]Boguslaw Cyganek, Jan Borgosz:
An Object-Oriented Software Platform for Examination of Algorithms for Image Processing and Compression. International Conference on Computational Science 2003: 713-720 - [c7]Boguslaw Cyganek:
Combined Detector of Locally-Oriented Structures and Corners in Images Based on a Scale-Space Tensor Representation of Local Neighborhoods of Pixels. International Conference on Computational Science 2003: 721-730 - [c6]Jan Borgosz, Boguslaw Cyganek:
Telecommunication Jitter Measurement in the Transmultipexer Systems Method Based on the Wavelet Pattern Correlation. International Conference on Computational Science 2003: 731-740 - [c5]Boguslaw Cyganek, Jan Borgosz:
Computer Platform for Transformation of Visual Information into Sound Sensations for Vision Impaired Persons. ICVS 2003: 182-191 - [c4]Boguslaw Cyganek, Jan Borgosz:
An Improved Variogram Analysis of the Maximum Expected Disparity in Stereo Images. SCIA 2003: 640-645 - 2002
- [c3]Boguslaw Cyganek, Jan Borgosz:
A new stereo method based on the detector of local structures. EUSIPCO 2002: 1-4 - 2001
- [c2]Boguslaw Cyganek, Jan Borgosz:
A Comparative Study of Performance and Implementation of Some Area-Based Stereo Algorithms. CAIP 2001: 709-716 - [c1]Jan Borgosz, Boguslaw Cyganek:
A Proposal of Jitter Analysis Based on a Wavelet Transform. WAA 2001: 257-268
Coauthor Index
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