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Your search keyword '"Király, Z."' showing total 221 results
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221 results on '"Király, Z."'

1. Efficient implementations of minimum-cost flow algorithms

Author

Király, Z. and Kovács, P.

Subjects
Computer Science - Discrete Mathematics, Computer Science - Data Structures and Algorithms, 05C21, G.2.2
Abstract

This paper presents efficient implementations of several algorithms for solving the minimum-cost network flow problem. Various practical heuristics and other important implementation aspects are also discussed. A novel result of this work is the application of Goldberg's recent partial augment-relabel method in the cost-scaling algorithm. The presented implementations are available as part of the LEMON open source C++ optimization library (\url{http://lemon.cs.elte.hu/}). The performance of these codes is compared to well-known and efficient minimum-cost flow solvers, namely CS2, RelaxIV, MCF, and the corresponding method of the LEDA library. According to thorough experimental analysis, the presented cost-scaling and network simplex implementations turned out to be more efficient than LEDA and MCF. Furthermore, the cost-scaling implementation is competitive with CS2. The RelaxIV algorithm is often much slower than the other codes, although it is quite efficient on particular problem instances.

Published
2012

15. Session 19 Plant-microbe interaction

Author

Ádám, A. L., Bestwick, C. S., Galal, A. A., Ladyzhenskaya, E., Barna, B., Mansfield, J. W., Király, Z., Andrianova, T. V., Vasjuk, V. A., Barna, B., Bratek, Z., Király, I., Vértessy, J., Balla, I., Cordovilla, M. P., Ocaña, A., Zuñiga, D., Soussi, M., Lluch, C., Didonet, A. D., Magalhāes, Ac., Dmitriev, A. P., Perkovskaya, G. Y., Grodzinsky, D. M., Dunaevsky, Y. E., Pavlukova, E. B., Beliakova, G. A., Belozersky, M. A., Gartland, J. S., Gartland, K. M. A., Main, G. D., Brasier, C. M., Fenning, T. M., Gonzalez, E. M., Gordon, A. J., James, C., Arrese-Igor, C., HŘib, J., Janisch, R., Vooková, B., Kaush, M. V., Seniciak, V. I., Lungu, V. I., Toma, S. I., Király, I., Bóka, Z., Bratek, Z., Kirichenko, E. V., Malichenko, S. M., Kislin, E. N., Semichyeva, T. V., Maklolepsza, U., Urbanek, H., Martín, R., Matínez-Murillo, R., Bentura, M. L., Rodrigo, J., Golvano, M. P., Mattsson, U., Sellstedt, A., Milieva, E., Stancheva, Y., Rodeva, V., Poveda, J. L., Caba, J. M., Sanchez-Guerrero, I., Ligero, F., Rusterucci, C., Ricci, P., Milat, M-L., Blein, J-P, Šantrůčková, H., Elhottová, D., Šantrůček, J., Scala, A., Tegli, S., Sellstedt, A., Reddell, P., Serezhkina, G. V., Tamás, L., FriČ, F., Tavares, F., Sellstedt, A., Parente, A., and Salema, R.

Published
1994
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36. Edge-preserving Filtering and Fuzzy Image Enhancement in Depth Images Captured by Realsense Cameras in Robotic Applications

Author

TADIC, V., ODRY, A., BURKUS, E., KECSKES, I., KIRALY, Z., and ODRY, P.

Subjects
filtering algorithms, fuzzy logic, image enhancement, robots, stereo vision, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895
Abstract

This paper presents both the use of depth cameras in robotic applications and effects of post-processing on the captured depth images. The performance of depth cameras and post-processing image enhancement are evaluated with the aim to improve the depth-based object detection. First, the edge-preserving exponential moving average (EMA) filter and the fuzzy contrast enhancement procedures are briefly introduced. Then, the use of depth cameras with post-processing methods is shown in the example of painting robots. The use of the stereo depth camera is essential in robotic applications, since it constitutes the initial steps in a series of robotic operations, where the goal is to both detect and extract obstacles on walls that are not intended to be painted.

Published
2020
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