Bogusław
Cyganek, PhD
AGH –
LIST OF PUBLICATIONS
BOOKS
2002
[1] Cyganek Bogusław: “Computer
Processing of 3D Images”, (in Polish) Academic Publisher House
2009
[2] Cyganek Bogusław, Siebert J. Paul: “An Introduction to 3D Computer Vision Techniques
and Algorithms”, Wiley, ISBN 978-0-470-01704-3, 2009.
[3] Cyganek Bogusław: “Methods and Algorithms of Object
Recognition in Digital Images”,
2013
[4] Cyganek Bogusław: “Object
Detection and Recognition in Digital Images. Theory and Practice”, Wiley,
ISBN 978-0-470-97637-1, 2013.
PAPERS
1996
[5] Korohoda Przemyslaw, Cyganek
Bogusław: “An Adaptive Method with
Tri-linear Interpolation and Scalar Quantization for Video Sequence
Compression”, XIXth National Conference – Circuit Theory and Electronic
Networks, Krakow-Krynica, Poland, October 23rd-26th,
1996.
[6] Cyganek Bogusław: “3-D Block Decomposition Approach for Video
Coding”, Image Processing & Communications. An International Journal,
Volume 2, Number 4, 1996.
1997
[7] Korohoda Przemyslaw, Cyganek
Bogusław: “Neural Networks for Object
Location from Stereo Images”, Third Conference “Neural networks and Their
Applications”,
1999
[8] Cyganek Bogusław, Korohoda Przemyslaw,
[9] Cyganek Bogusław, Korohoda
Przemyslaw: “Improved Neural Network for
Fast Extraction of Information from Stereo-Images”, Fourth Conference
“Neural Networks and Their Applications”,
[10] Cyganek Bogusław: “Neural Networks Application to The
Correlation-Based Stereo-Images Matching”, Engineering Applications of
Neural Networks, Proceedings of the 5th International Conference
EANN ’99, Warsaw, Poland, pp. 17-22.
[11] Korohoda Przemyslaw, Cyganek
Bogusław, Jerzy Bialas, Jan Świerczek: “Acoustic
Code for Scanning Visual Data”, Proceedings of the IWSSIP ’99, 6th
International Workshop on Systems, Signals and Image Processing, June 2-4,
1999, Bratislava, Slovakia.
2001
[12] Cyganek Bogusław,
[13]
[14] Cyganek Bogusław,
[15]
[16]
[17] Cyganek Bogusław,
[18]
2002
[19] Cyganek Bogusław: “Novel Stereo Matching Method That Employs Tensor Representation of Local Neighborhood In Binary Images”, Machine Graphics & Vision, Special Issue on Stereogrammetry, 2001, pp. 289-316. (Publikacja faktycznie wydana w roku 2002. Wydrukowany na czasopiśmie numer porządkowy oraz rok 2001 wynika ze znacznego opóźnienia druku).
[20] Cyganek Bogusław,
[21] Cyganek Bogusław,
[22] Cyganek Bogusław,
2003
[23] Cyganek Bogusław,
[24]
[25] Cyganek Bogusław,
[26] Cyganek Bogusław,
[27] Cyganek Bogusław: „Combined
Detector of Locally-Oriented Structures and Corners in Images Based on a
Scale-Space Tensor Representation of Local Neighborhoods of Pixels”, in
Springer Lecture Notes in Computer Science 2658, pp. 721-730,, Proceedings of
the International Conference on Computational Science – ICCS 2003, June 2-5,
[28]
[29]
[30] Cyganek Bogusław,
2004
[31] Cyganek Bogusław: „Depth Recovery
with an Area Based Version of the Stereo Matching Method with Scale-Space
Tensor Representation of Local Neighborhoods”, Springer Lecture Notes in
Computer Science 3037 (Impact Factor: 0.513), M. Bubak (Eds.) Proceedings of
the International Conference on Computational Science – ICCS 2004, June 6-9,
2004, Krakow, Poland, pp. 548-551.
[32]
[33]
[34] Cyganek Bogusław,
[35] Cyganek Bogusław,
[36] Cyganek Bogusław: „Neural
Computation of the Fundamental Matrix”, Springer Lecture Notes in
Artificial Intelligence 3070 (Impact Factor: 0.513) (Subseries of Lecture Notes
in Computer Science), L. Rutkowski et.al. (Eds.), Proceedings of the 7th
International Conference on Artificial Intelligence and Soft Computing – ICAISC
2004, June 6-11, 2004,
[37] Cyganek Bogusław,
[38] Twardowski Tomasz, Cyganek Bogusław,
[39] Cyganek Bogusław: “Comparison of
Nonparametric Transformations and Bit Vector Matching for Stereo Correlation”
the
[40] Cyganek Bogusław: “Software
Loading and Upgrading System for Embedded Platforms”. First International
Conference on Embedded Software and Systems,
2005
[41] Cyganek Bogusław: “Adaptive
Window Growing Technique for Efficient Image Matching” in the Springer Lecture Notes in Computer Science, LNCS 3522 (Impact Factor: 0.402),
Proceedings of the 2nd Iberian Conference on Pattern Recognition and Image
Analysis - IbPRIA 2005, 7-9 June 2005, Estoril, Portugal, 2005, pp. 308-315.
[42] Cyganek Bogusław: “Machine
Efficient Adaptive Image Matching Based on the Nonparametric Transformations”
in the Springer Lecture Notes in Computer Science, LNCS 3514 (Impact Factor: 0.402), International Conference on Computational
Science,
[43] Cyganek Bogusław: “Artificial
Neural Receptive Field for Stereovision” the
[44] Cyganek Bogusław: “Object
Detection in Multi-Channel and Multi-Scale Images Based on the Structural
Tensor” in the
Springer Lecture Notes in Computer Science, LNCS 3691 (Impact Factor: 0.402). Proceedings of the 11th
International Conference on Computer Analysis of Images and Patterns –
CAIP2005,
[45] Cyganek Bogusław: “Object-Oriented
Software Loading and Upgrading Techniques for Embedded and Distributed System” in Z. Wu et al. (Eds.): Lecture Notes
in Computer Science, LNCS 3605
(Impact Factor: 0.402).
2006
[46] Cyganek Bogusław: “Recognition of
Road Signs with Mixture of Neural Networks and Arbitration Modules”. The Third International Symposium on Neural
Networks,
[47] Cyganek, Bogusław, Socha Łukasz.: “Comparison Of Matching Strategies For Colour
Images”. The First International Conference on Computer Vision Theory and
Applications – VISAPP 2006,
[48] Cyganek Bogusław: “Matching of the Multi-channel Images with
Improved Nonparametric Transformations and Weighted Binary Distance Measures”.
The International Workshop on Combinatorial Image
[49] Cyganek Bogusław: “Committee Machine for Road-Signs
Classification” The Eight International Conference on Artificial
Intelligence and Soft Computing,
[50] Cyganek Bogusław: “Computational Framework for Family of Order
Statistic Filters for Tensor Valued Data”. The International Conference on
Image Analysis and Recognition,
[51]
Cyganek
Bogusław: “Rotation Invariant Recognition
of Road Signs with Ensemble of 1-NN Neural Classifiers”. ICANN 06 –
International Conference on Artificial Neural Networks,
[52] Cyganek Bogusław: “Unsupervised
Scale-Space Texture Detector in Multi-Channel Images Based on the Structural
Tensor” the International Conference on Computer Vision and Graphics 2004,
September 22-24, 2004,
2007
[53] Cyganek Bogusław: “Hardware-Software System for Acceleration of
Image Processing Operations”. The International Conference on Computer
Vision and Graphics 2006, September 25-27, 2006,
[54] Cyganek Bogusław: “
[55] Cyganek Bogusław: “Road Signs Recognition by the Scale-Space
Template Matching in the Log-Polar Domain”. IbPRIA - the Iberian Conference
on Pattern Recognition and Image Analysis, June 6-8, 2007,
[56] Cyganek Bogusław: “Soft System for Road Sign Detection”.
IFSA – Theory and Applications of Fuzzy Logic and Soft Computing, 18-21 June
2007,
[57] Cyganek Bogusław: “The Object-Oriented Protocol for Data
Exchange and Control in Computational-Diverse Embedded Systems”. The
International Conference on Embedded Systems and Software ICESS-07,
[58] Cyganek Bogusław: “
[59] Cyganek Bogusław: “Real-Time Detection of the Triangular and
Rectangular
2008
[60] Cyganek Bogusław: “An Algorithm for Computation of the Scene
Geometry by the Log-Polar Area Matching Around Salient Points”. V. Geffert
et al. (Eds.): SOFSEM 2008, Lecture Notes in Computer Science, LNCS 4910,
[61] Cyganek Bogusław: “Road-Signs Recognition System for
Intelligent Vehicles”. 2nd Workshop "Robot Vision", Auckland, New
Zealand, Lecture Notes in Computer Science, LNCS 4931, Springer-Verlag Berlin
Heidelberg, 2008, pp. 219-233.
[62] Cyganek Bogusław: “Real-Time Road Signs Tracking with the Fuzzy
Continuously Adaptive Mean Shift Algorithm”. L. Rutkowski et al. (Eds.):
ICAISC 2008, Lecture Notes in Artificial Intelligence (subseries of LNCS) LNCS
5097, Springer-Verlag Berlin Heidelberg,
2008, pp. 217–228.
[63] Cyganek Bogusław: “Intelligent System for Traffic Signs Recognition
in Moving Vehicles”. The Twenty First International Conference on
Industrial, Engineering & Other Applications of Applied Intelligent Systems
IEA-AIE 2008, Lecture Notes in Artificial Intelligence (subseries of LNCS) LNCS
5027, Springer-Verlag Berlin Heidelberg, 2008, pp. 139-148.
[64] Cyganek Bogusław: “Real-Time Differentiation of the
Multi-Dimensional Sampled Functions” in New Aspects of Signal Processing
and Wavelets, Proceedings of the 7th WSEAS International Conference on SIGNAL
PROCESSING (SIP '08), Istanbul, Turkey, May 27-30, 2008, pp. 93-98.
[65] Cyganek Bogusław: “Neuro-Fuzzy System for Road Signs
Recognition”. 18th International Conference on Artificial Neural Networks,
3-6 September 2008, Czech Republic, LNCS 5163, Springer-Verlag Berlin Heidelberg,
2008, pp. 503–512.
[66] Cyganek Bogusław: “A Real-Time Vision System for Traffic Signs
Recognition Invariant to Translation, Rotation and Scale”. ACIVS 2008,
France, LNCS 5259,
[67] Cyganek Bogusław: “Color Image Segmentation With Support
Vector Machines: Applications To Road Signs Detection”. International
Journal of Neural Systems, Vol. 18, No. 4, World Scientific Publishing Company,
(ISSN 0129-0657, Impact Factor = 0.901), 2008, pp. 339–345.
2009
[68] Cyganek Bogusław: “Architecture of an Integrated
Software-Hardware System for Accelerated Image Processing”. The
International Conference on Computer Vision & Graphics ICCVG 2008,
Warszawa. LNCS 5337,
[69] Cyganek Bogusław: “Recognition of Solid Objects in Images
Invariant to Conformal Transformations”. The International Conference on
Computer Recognition Systems CORES’09 3, AISC 57,
[70] Cyganek Bogusław: “Framework for Object Tracking with Support
Vector Machines, Structural Tensor and the Mean Shift Method”. ICONIP 2009:
16th International Conference on Neural Information Processing,
[71] Cyganek
Bogusław: “Rozpoznawanie obiektów w
obrazach z wykorzystaniem histogramów fazowych w morfologicznej przestrzeni
skal”. Kierunki działalności i współpraca naukowa Wydziału Elektrotechniki,
Automatyki, Informatyki i Elektroniki : materiały konferencji zorganizowanej z
okazji Jubileuszu 90-lecia AGH : Kraków, 28–29 maja 2009 / komitet red. Wojciech Mitkowski, Adam Piłat. —
Kraków : AGH WEAIiE, 2009, pp. 101–104.
2010
[72] Cyganek Bogusław: “Image Segmentation with a Hybrid Ensemble of
One-Class Support Vector Machines”. The International Conference on Hybrid
Artificial Intelligence Systems, San Sebastian, Spain, M. Graña Romay et
al. (Eds.): HAIS 2010, Part I, LNAI 6076,
[73] Cyganek Bogusław, Malisz Piotr: “Dental Implant Examination Based on the
Log-Polar Matching of the Maxillary Radiograph Images in the Anisotropic Scale
Space”. IEEE Engineering in Medicine and Biology Conference, EMBC 2010, Buenos
Aires, Argentina, 2010, pp. 3093-3096.
[74] Cyganek Bogusław: “Traffic Scene Segmentation and Robust
Filtering for Road Signs Recognition”. The International Conference on
Computer Vision & Graphics L. Bolc et al. (Eds.): ICCVG 2010, Part I, LNCS
6374, 2010.
[75] Cyganek Bogusław: “Software Framework for Efficient Tensor
Representation and Decompositions for Pattern Recognition in Computer Vision”.
The IP&C 2010 Conference 20-23 October 2010, Bydgoszcz, Poland,
Advances in Soft Computing Series “Image
Processing & Communications Challenges II”, Springer-Verlag, 2010, pp.
185–192.
[76] Cyganek Bogusław: “An Analysis of the Road Signs Classification
Based on the Higher-Order Singular Value Decomposition of the Deformable
Pattern Tensors”, Advanced Concepts for Intelligent Vision Systems Acivs
2010, LNCS 6475
[77] Cyganek Bogusław: "A Software Framework for Tensor
Representation and Decopositions for Object Recognition", Image
Processing & Communications, Vol. 15, No. 2, 2010, pp. 5-16.
2011
[78] Cyganek Bogusław, Gruszczyński
Sławomir: “Visual System for Drivers' Eye
Recognition”. The International Conference on Hybrid Artificial
Intelligence Systems, E. Corchado, M. Kurzyński, M. Woźniak (Eds.): HAIS 2011,
Part I, LNAI 6678, Springer, Heidelberg, 2011, pp. 436-443.
[79] Cyganek Bogusław, Wielgosz Maciej,
Wiatr Kazimierz: "FPGA based
real-time image segmentation with the ensemble of one-class support vector
machines". KU KDM 2011, Fourth ACC Cyfronet AGH users' conference.
Zakopane, March 09-11, 2011. ACK Cyfronet AGH, ISBN 978-83-61-433-04-0. pp.
33–35, 2011.
[80] Cyganek Bogusław: Object Recognition with the HOSVD of the
Multi-Model Space-Variant Pattern Tensors, 14th International Conference on
Computer Analysis of Images and Patterns CAIP 2011, Seville, Spain, LNCS 6854,
Springer-Verlag Berlin Heidelberg, pp. 435–442, 2011.
[81] Frączek Rafał, Cyganek Bogusław: Evaluation of image descriptors for
retrieval of similar images. Intelligent Tools for Building a Scientific
Information Platform. Springer Studies in Computational Intelligence, 2012,
Volume 390/2012, pp. 217-226, DOI: 10.1007/978-3-642-24809-2_13, 2011.
[82] Cyganek Bogusław, Wiatr Kazimierz: Image Contents Annotations with the Ensemble
of One-Class Support Vector Machines. International Conference on Neural
Computation Theory and Applications, 24-26 October, Paris, France, 2011.
[83] Cyganek Bogusław: Adding Parallelism to the Hybrid Image
Processing Library in Multi-Threading and Multi-Core Systems. 2nd IEEE
International Conference on Networked Embedded Systems for Enterprise
Applications (NESEA 2011), Perth, Australia, 2011.
[84] Cyganek Bogusław, Socha Katarzyna: Computationally Efficient Methods of
Approximations of the S-Shape Functions for Image Processing and Computer
Graphics Tasks. An International Journal of Image Processing &
Communications, Vol. 16, No. 1-2, pp. 29-42, 2011.
2012
[85] Cyganek Bogusław: Ensemble of Tensor Classifiers Based on the
Higher-Order Singular Value Decomposition. HAIS 2012, Salamanca, Springer,
Part II, LNCS 7209, pp. 578–589, 2012.
[86] Cyganek Bogusław: One-Class Support Vector Ensembles for Image
Segmentation and Classification. Journal of Mathematical Imaging &
Vision, Vol. 42, No. 2-3, Springer (IF=1.244), pp. 103–117, 2012.
[87] Bugaj Marcin, Cyganek Bogusław: GPU Based Computation of the Structural
Tensor for Real-Time Figure Detection. 20th International Conference on
Computer Graphics, Visualization and Computer Vision (WSCG’12), Czech Republic,
2012.
[88] Cyganek Bogusław: A Framework for Data Representation,
Processing, and Dimensionality Reduction with the Best-Rank Tensor
Decomposition. Proceedings of the ITI 2012 34th International Conference
Information Technology Interfaces, June 25-28, 2012, Cavtat, Croatia, pp. ,
2012.
[89] Cyganek Bogusław, Socha Katarzyna: A Multi-Tool for Ground-Truth Stereo
Correspondence, Object Outlining and Points-of-Interest Selection. VIGTA,
First International Workshop on Visual Interfaces for Ground Truth Collection
in Computer Vision Applications, Capri, Italy, May 21-25, pp. , 2012.
[90] Michał Grega, Seweryn Łach, Bogusław
Cyganek: INSTREET – application for urban photograph localization. Multimedia
communications, services and security : 5th international conference, MCSS 2012
: Krakow, Poland, May 31–June 1, 2012 : proceedings / eds. Andrzej Dziech,
Andrzej Czyżewski. — Berlin ; Heidelberg : Springer-Verlag, Communications in
Computer and Information Science, pp. 130–138, 2012.
[91] Cyganek Bogusław: Embedding of the Extended Euclidean Distance
into Pattern Recognition with Higher-Order Singular Value Decomposition of
Prototype Tensors. IFIP International Federation for Information Processing
2012, Venice, Italy CISIM 2012, A. Cortesi et al. (Eds.):, Springer, Lecture
Notes in Computer Science LNCS 7564, pp. 180–190, 2012.
[92] Cyganek Bogusław, Woźniak Michał: Pixel-Based Object Detection and Tracking
with Ensemble of Support Vector Machines and Extended Structural Tensor.
N.-T. Nguyen et al. (Eds.): ICCCI 2012, Part I, LNAI 7653, pp. 104–113, 2012.
2013
[93] Cyganek Bogusław, Wiatr Kazimierz: Design of parallel architectures of
classifiers suitable for intensive data processing. The Fifth International
Conference on Resource Intensive Applications and Services INTENSIVE 2013,
March 24 - 29, 2013 - Lisbon, Portugal, 2013.
[94] Rafał Frączek, Bogusław Cyganek, Kazimierz Wiatr: Parallelized algorithms for finding similar images and object recognition. Computer Science : rocznik Akademii Górniczo-Hutniczej, vol. 14 no. 1, pp. 113–127, 2013.
[95] Cyganek Bogusław: Wprowadzenie do pomiaru głębi obrazu za pomocą stereoskopowego układu kamer — An introduction to scene depth measurement with stereoscopic set of cameras. Przegląd Spawalnictwa / Stowarzyszenie Inżynierów i Techników Mechaników Polskich, pp. 38–43, 2013.
[96] Cyganek Bogusław, Gruszczyński
Sławomir: Eye Recognition in
Near-Infrared Images for Driver's Drowsiness Monitoring. 2013 IEEE
Intelligent Vehicles Symposium (IV) June 23-26, 2013, Gold Coast, Australia,
pp. 397-402, 2013.
[97] Cyganek Bogusław, Woźniak Michał: Framework for image analysis and object
recognition in industrial applications with the ensemble of classifiers.
ETFA'2013 Proceedings of 18 IEEE international conference on Emerging
Technologies and Factory Automation, pp. 1-4, September 10–13, 2013, Cagliari,
Italy.
[98] Cyganek Bogusław: Pattern recognition framework based on the
best rank-(R1,R2,...,RK) tensor approximation.
Computational vision and medical image processing IV: Proceedings of VipIMAGE
2013 – IV ECCOMAS thematic conference on Computational vision and medical image
processing, pp. 301–306, Funchal, Portugal, 14–16 October 2013.
2014
[99] Cyganek Bogusław, Gruszczyński
Sławomir: Hybrid computer vision system
for drivers' eye recognition and fatigue monitoring. Neurocomputing (5-Year
Impact Factor: 1.811 - from: http://www.journals.elsevier.com/neurocomputing/),
Volume 126, pp. 78–94, 2014.
[100] Krawczyk Bartosz, Woźniak Michał,
Cyganek Bogusław: Clustering-based
ensembles for one-class classification. Information Sciences, Elsevier, Vol.
264, pp. 182–195, 2014.
[101] Cyganek Bogusław, Socha Katarzyna: Novel parallel algorithm for object
recognition with the ensemble of classifiers based on the higher-order singular
value decomposition of prototype pattern tensors. Proceedings of the
VISIGRAPP 2014. Lisbon, 5–9 January, 2014.
[102] Cyganek Bogusław, Woźniak Michał: Vehicle Logo Recognition with an Ensemble of
Classifiers. N.T. Nguyen
et al (Eds.): Intelligent Information and Database Systems 6th Asian
Conference, ACIIDS 2014, Bangkok, Thailand, April 7-9, 2014, Proceedings, Part
II, pp. 117–126, 2014.
[103] Cyganek Bogusław: Object Recognition with the Higher-Order
Singular Value Decomposition of the Multi-Dimensional Prototype Tensors, 3rd
Computer Science On-line Conference (CSOC 2014), April 28-30, 2014. Advances in
Intelligent Systems and Computing, Springer, pp. 395-405, 2014.
[104] Woźniak Michał, Cal Piotr, Cyganek
Bogusław: The Influence of a Classifiers’
Diversity on the Quality of Weighted Aging Ensemble N.T. Nguyen et al (Eds.): Intelligent Information and
Database Systems 6th Asian Conference, ACIIDS 2014, Bangkok, Thailand, April
7-9, 2014, Proceedings, Part II, pp. 90-99, 2014.
[105] Krawczyk Bartosz, Woźniak Michał,
Cyganek Bogusław: Clustering-Based
Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation.
Hybrid Artificial Intelligence Systems. Lecture Notes in Computer Science
Volume 8480, pp. 678-688, 2014.
[106] Ryszard Jastrzębski, Bogusław CYGANEK,
Jarosław Przytuła, Ilona Jastrzębska, Kordian Szczyrbak: Teoria wyszkolenia
fizycznego spawaczy i lutowaczy gazowych kluczem do kopiowania ruchów spawacza
na ruchy robota — [Theory of training of gas welders and solders as a key to
copy welders motion into robots motion]. Dozór Techniczny ; ISSN 0209-1763. —
2014 nr 4–5, s. 74–82.
[107] Krawczyk Bartosz, Cyganek Bogusław: Determining the Number of Competence Areas
for One-Class Classification Ensembles. Pattern Analysis and Applications,
Springer, (on-line) November 2014.
[108] Bartosz Krawczyk, Michał Woźniak,
Bogusław CYGANEK: Weighted one-class classifier ensemble based on fuzzy feature
space partitioning, ICPR 2014 22nd International Conference on Pattern
Recognition, 24–28 August 2014, Stockholm, Sweden. s. 2838–2843, 2014.
2015
[109] Jackowski Konrad, Cyganek Bogusław: A Learning Based Color Image Segmentation
with Extended and Compact Structural Tensor Feature Representation. Pattern
Analysis and Applications, Springer, (on-line) January 2015.
[110] Cyganek Bogusław, Woźniak Michał: An
Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern
Tensor Representation and Decomposition. New Generation Computing, Springer,
Volume 33, Issue 4, pp 389-408, 2015.
[111] Cyganek Bogusław: Visual Pattern Recognition Framework Based
on the Best Rank Tensor Decomposition in Developments in Medical Image
Processing and Computational Vision,
Lecture Notes in Computational Vision and Biomechanics, Springer, Vol.
19, 2015, pp. 89-103, 2015.
[112] Cyganek Bogusław: Hybrid ensemble of classifiers for logo and
trademark symbols recognition. Soft Computing, Springer (DOI
10.1007/s00500-014-1323-8) (Accepted), ISSN 1432-7643. — 2015 vol. 19 iss. 12,
s. 3413–3430, 2015.
[113] Cyganek Bogusław, Krawczyk Bartosz,
Woźniak Michał: Multidimensional Data
Classification with Chordal Distance Based Kernel and Support Vector Machines.
Engineering Applications of Artificial Intelligence, Elsevier, ISSN 0952-1976,
Vol. 46, Part A, pp. 10–22, November 2015.
2016
[114] Cyganek Bogusław: Real-Time Eye Detection and Tracking in the
Near-Infrared Video for Drivers’ Drowsiness Control. R. Burduk et al.
(eds.), Proceedings of the 9th International Conference on Computer Recognition
Systems CORES 2015, Advances in Intelligent Systems and Computing 403, DOI
10.1007/978-3-319-26227-7_45, 2015.
[115] Michał Woźniak, Bogusław CYGANEK: Classifier Using Context, Workshop
on Computational Aspects of Pattern Recognition and Computer Vision
CAPR&CV, under the framework of the International Conference on Data Mining
and Big Data (IC-DMBD’2016), Bali Indonezja, 2016.
[116] Bogusław CYGANEK, Michał Woźniak: Efficient Multidimensional Pattern
Recognition in Kernel Tensor Subspaces, Workshop on Computational Aspects
of Pattern Recognition and Computer Vision CAPR&CV, under the framework of
the International Conference on Data Mining and Big Data (IC-DMBD’2016), Bali
Indonezja, 2016.
[117] Koziarski Michał, Cyganek Bogusław: Examination of the Deep Neural Networks in
Classification of Distorted Signals, Proceedings of the 16th International Conference on Artificial
Intelligence and Soft Computing ICAISC, Artificial Intelligence and Soft
Computing Vol. 9693 of the series Lecture Notes in Computer Science pp.
680-688, 2016.
[118] Cyganek Bogusław, Jankowski Dariusz,
Woźniak Michał: Ensemble of HOSVD
Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions,
The 11th International Conference on Hybrid Artificial Intelligence Systems
will be held in Seville, Spain, in 18th-20th April of 2016 HAIS, (Engine),
2016.
[119] Bogusław CYGANEK, Michał Woźniak,
Dariusz Jankowski: Ensemble of HOSVD
generated tensor subspace classifiers with optimal tensor flattening directions.
HAIS 2016 11th international conference on Hybrid Artificial Intelligent
Systems. Lecture Notes in Computer Science, Lecture Notes in Artificial
Intelligence LNAI 9648, pp. 570–571, 2016.
[120] Bogusław CYGANEK, Michał Woźniak: On robust computation of tensor classifiers
based on the higher-order singular value decomposition. The 5th Computer
Science On-line Conference on Software Engineering Perspectives and Application
in Intelligent Systems 2016 (CSOC2016). Springer, Advances in Intelligent
Systems and Computing Vol. 465, pp. 193–201, 2016.
[121] Woźniak Michał, Cyganek Bogusław,
Kasprzak Andrzej, Ksieniewicz Paweł, Walkowiak Krzysztof: Active learning classifier for streaming data. HAIS 2016 11th international
conference on Hybrid Artificial Intelligent Systems, Springer, Lecture Notes in
Computer Science, Lecture Notes in Artificial Intelligence LNAI 9648, pp.
186–197, 2016.
[122] Michal Wozniak, Pawel Ksieniewicz,
Bogusław Cyganek, Andrzej Kasprzak and Krzysztof Walkowiak, Active Learning Classification of Drifted
Streaming Data International Conference on Computational Science,
Nonstationary Models of Pattern Recognition and Classifier Combinations – NMRPC
2016, San Diego, California, U.S.A., 6-8 June, 2016 ICCS San Diego, (Engine),
2016.
[123] Dariusz Jankowski, Konrad Jackowski
and Bogusław Cyganek: Learning Decision
Trees from Data Streams with Concept Drift, International Conference on
Computational Science, Nonstationary Models of Pattern Recognition and Classifier
Combinations – NMRPC 2016, San Diego, California, U.S.A., 6-8 June, 2016 ICCS
San Diego, (Engine), 2016.
[124] Cyganek Bogusław, Woźniak Michał: Efficient Computation of the Tensor Chordal
Kernel, International Conference on Computational Science, Nonstationary
Models of Pattern Recognition and Classifier Combinations – NMRPC 2016, San
Diego, California, U.S.A., 6-8 June, 2016 ICCS San Diego, (Engine), 2016.
[125] Kusnik Damian, Bogdan Smołka,
Bogusław CYGANEK: Application of the
local similarity filter for the suppression of multiplicative noise in medical
ultrasound images. Real-time image and video processing 2016, eds. Nasser
Kehtarnavaz, Matthias F. Carlsohn. Proceedings of SPIE / The International Society
for Optical Engineering ; ISSN 0277-786X, Vol. 9897, 2016.
[126] Bogusław CYGANEK, Bogdan Smołka: Real-time framework for tensor based image
enhancement for object classification. Real-time image and video processing
2016, eds. Nasser Kehtarnavaz, Matthias F. Carlsohn. Proceedings of SPIE, The
International Society for Optical Engineering ; ISSN 0277-786X, Vol. 9897,
2016.
2017
[127] Bogusław CYGANEK, Michał Woźniak: On Efficient Computation of Tensor Subspace
Kernels for Multi-Dimensional Data, Accepted to the 12th International
Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and
Applications, VISAPP, February 28th – March 3rd, Porto,
Portugal, 2017.