Institution
Brno University of Technology
Education•Brno, Czechia•
About: Brno University of Technology is a education organization based out in Brno, Czechia. It is known for research contribution in the topics: Computer science & Fracture mechanics. The organization has 6339 authors who have published 15226 publications receiving 194088 citations. The organization is also known as: Vysoké učení technické v Brně & BUT.
Papers published on a yearly basis
Papers
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TL;DR: In this article, mass loss between 200 and 300°C, which is related to thermally labile fraction, correlates best with total organic C, total N and clay content and biological activity.
49 citations
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20 Jun 2011TL;DR: A new parameterization of lines and a modification of the Hough transform–PClines are presented, which shows that PClines outperform the existing approaches in terms of accuracy.
Abstract: Detection of lines in raster images is often performed using Hough transform. This paper presents a new parameterization of lines and a modification of the Hough transform–PClines. PClines are based on parallel coordinates, a coordinate system used mostly or solely for high-dimensional data visualization. The PClines algorithm is described in the paper; its accuracy is evaluated numerically and compared to the commonly used line detectors based on the Hough transform. The results show that PClines outperform the existing approaches in terms of accuracy. Besides, PClines are computationally extremely efficient, require no floating-point operations, and can be easily accelerated by different hardware architectures.
49 citations
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25 Oct 2020
TL;DR: The Zero Resource Speech Challenge 2020 is presented, which aims at learning speech representations from raw audio signals without any labels and features two tasks which tap into two levels of speech representation.
Abstract: We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels. It combines the data sets and metrics from two previous benchmarks (2017 and 2019) and features two tasks which tap into two levels of speech representation. The first task is to discover low bit-rate subword representations that optimize the quality of speech synthesis; the second one is to discover word-like units from unsegmented raw speech. We present the results of the twenty submitted models and discuss the implications of the main findings for unsupervised speech learning.
49 citations
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TL;DR: A new method of fully reversible watermarking in medical imaging is proposed by combining the advantages of three traditional approaches—Reversible, Zero and RONI watermarked, which achieves exceptionally high values of Peak Signal to Noise Ratio and Structural Similarity index.
49 citations
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TL;DR: This paper reviews and critically evaluates available methods for the measurement of single and disperse two‐phase flows for the study of respiratory airflow and deposition of inhaled particles, performed both in vivo and in replicas of airways.
49 citations
Authors
Showing all 6383 results
Name | H-index | Papers | Citations |
---|---|---|---|
Georg Kresse | 111 | 430 | 244729 |
Patrik Schmuki | 109 | 763 | 52669 |
Michael Schmid | 88 | 715 | 30874 |
Robert M. Malina | 88 | 691 | 38277 |
Jiří Jaromír Klemeš | 64 | 565 | 14892 |
Alessandro Piccolo | 62 | 284 | 14332 |
René Kizek | 61 | 672 | 16554 |
George Danezis | 59 | 209 | 11516 |
Stevo Stević | 58 | 374 | 9832 |
Edvin Lundgren | 57 | 286 | 10158 |
Franz Halberg | 55 | 750 | 15400 |
Vojtech Adam | 55 | 611 | 14442 |
Lukas Burget | 53 | 252 | 21375 |
Jan Cermak | 53 | 238 | 9563 |
Hynek Hermansky | 51 | 317 | 14372 |