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Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes.

, , and . Sensors, 17 (11): 2590 (2017)

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Using the Evolutionary Computation Approach in the Initial Phase of Protocol Discovering., , and . ICAISC (1), volume 11508 of Lecture Notes in Computer Science, page 493-505. Springer, (2019)The open online repository of karate motion capture data: A tool for scientists and sport educators., , and . SSCI, page 1-5. IEEE, (2017)Hierarchical Graph-Grammar Model for Secure and Efficient Handwritten Signatures Classification., and . J. Univers. Comput. Sci., 17 (6): 926-943 (2011)Signal Processing Methods in Human Motion Path Analysis: A Use Case for Karate Kata., , and . EECS, page 311-316. IEEE, (2018)CNN-Based Classifier as an Offline Trigger for the CREDO Experiment., , , , , , , , , and 21 other author(s). Sensors, 21 (14): 4804 (2021)Matrix-Based Hierarchical Graph Matching in Off-Line Handwritten Signatures Recognition., and . ACPR, page 897-901. IEEE, (2013)Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network., , and . Sensors, 21 (6): 1963 (2021)Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras., , and . ICONIP (5), volume 1516 of Communications in Computer and Information Science, page 307-316. Springer, (2021)Hierarchical Random Graph Model for Off-line Handwritten Signatures Recognition.. CISIS, page 860-865. IEEE Computer Society, (2010)Random Graph Languages for Distorted and Ambiguous Patterns: Single Layer Model., and . IMIS, page 108-113. IEEE Computer Society, (2012)