Publications

Author: From year: Years:
Title: Keywords:
Type:
  
2018DRAHANSKÝ Martin and DVOŘÁK Michal. Hand shape recognition and palm-print recognition using 2D and 3D features. Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018, pp. 283-307. ISBN 978-1-78561-224-4.
 DRAHANSKÝ Martin and YANUSHKEVICH Svetlana. General introduction. Hand-Based Biometrics: Methods and technology. London: The Institution of Engineering and Technology, 2018, pp. 1-17. ISBN 978-1-78561-224-4.
 DRAHANSKÝ Martin. Recognition of Eye Characteristics. Machine Learning and Biometrics. London: InTech - Open Access Publisher, 2018, pp. 7-35. ISBN 978-1-78923-590-6.
 DRAHANSKÝ Martin, KANICH Ondřej and DVOŘÁK Michal. Spoofing methods in hand-based biometrics. Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018, pp. 367-398. ISBN 978-1-78561-224-4.
 HEIDARI Mona, GOLDMANN Tomáš, DVOŘÁK Michal and DRAHANSKÝ Martin. Antispoofing and multispectral (optical) methods in hand-based biometrics. Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018, pp. 337-365. ISBN 978-1-78561-224-4.
 HEIDARI Mona, KANICH Ondřej and DRAHANSKÝ Martin. Processing of fingerprints influenced by skin diseases. Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018, pp. 135-168. ISBN 978-1-78561-224-4.
 KANICH Ondřej and DRAHANSKÝ Martin. State of the art in fingerprint recognition. Hand-Based Biometrics: Methods and Technology. London: The Institution of Engineering and Technology, 2018, pp. 83-110. ISBN 978-1-78561-224-4.
 SEKANINA Lukáš. Approximate Computing: An Old Job for Cartesian Genetic Programming?. Inspired by Nature. Cham: Springer International Publishing, 2018, pp. 195-212. ISBN 978-3-319-67996-9.
 VAŠÍČEK Zdeněk. Bridging the Gap Between Evolvable Hardware and Industry Using Cartesian Genetic Programming. Inspired by Nature. Cham: Springer International Publishing, 2018, pp. 39-55. ISBN 978-3-319-67996-9.
2017BIDLO Michal. Evolution of Cellular Automata-Based Replicating Structures Exhibiting Unconventional Features. International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers. Cham: Springer International Publishing, 2017, pp. 21-41. ISBN 978-3-319-48506-5.
 DRAHANSKÝ Martin, KANICH Ondřej and BŘEZINOVÁ Eva. Challenges for fingerprint recognition - spoofing, skin diseases and environmental effects. Handbook of Biometrics for Forensic Science. Cham: Springer Verlag, 2017, pp. 63-83. ISBN 978-3-319-50671-5.
 JAROŠ Jiří, TREEBY Bradley E. and GEORGIOU Panyiotis. Modelling Beam Distortion during Focused Ultrasound Surgery in the Prostate using k-Wave. Supercomputing in Science and Engineering. Ostrava: VŠB-Technical University of Ostrava - IT4I, 2017, pp. 205-207. ISBN 978-80-248-4037-6.
 JAROŠ Jiří, TREEBY Bradley E. and ROBERTSON James L. Convergence Testing of a k-space Pseudospectral Scheme for Transcranial Time-reversal Focusing. Supercomputing in Science and Engineering. Ostrava: VŠB-Technical University of Ostrava - IT4I, 2017, pp. 195-197. ISBN 978-80-248-4037-6.
 KARAFIÁT Martin, VESELÝ Karel, ŽMOLÍKOVÁ Kateřina, DELCROIX Marc, WATANABE Shinji, BURGET Lukáš, ČERNOCKÝ Jan and SZŐKE Igor. Training Data Augmentation and Data Selection. New Era for Robust Speech Recognition: Exploiting Deep Learning. Heidelberg: Springer International Publishing, 2017, pp. 245-260. ISBN 978-3-319-64679-4.
2016ČADÍK Martin and AYDIN Tunc O. HDR Video Metrics. High Dynamic Range Video: Concepts, Technologies and Applications. London: Elsevier Science, 2016, pp. 111-125. ISBN 978-0-12-809477-8.
 ZEMČÍK Pavel, MUSIL Petr and MUSIL Martin. High Dynamic Range Video; Concepts, Technologies and Applications. High Dynamic Range Video, 1st Edition. London: Elsevier Science, 2016, pp. 145-154. ISBN 978-0-12-809477-8.

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