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Adaptive tuning of SLIC parameter K
Multimedia Tools and Applications, 2021The well-known simple linear iterative clustering (SLIC) is the most effective among the existing algorithms for superpixel segmentation, which requires manual tuning of the number of superpixels K. The optimal value of the parameter K of the SLIC algorithm for a given image is yet an open issue.
Shakir Ullah, Naeem Bhatti, Muhammad Zia
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Tuning Of The Bison Algorithm Control Parameters
ECMS 2018 Proceedings edited by Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen, 2018Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/CebiaTech/2018/003]; COST (European Cooperation in Science Technology ...
Kazíková, Anežka +2 more
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2015
In data mining, association rules can be shown when customers buy products, which products will be purchased at the same time. Scholars use this feature to develop market basket analysis to formulate marketing strategies for business. As we know, the data are changing all the time. When new data generate, the old data will be replaced. In the database,
Wei Chi Cheng +3 more
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In data mining, association rules can be shown when customers buy products, which products will be purchased at the same time. Scholars use this feature to develop market basket analysis to formulate marketing strategies for business. As we know, the data are changing all the time. When new data generate, the old data will be replaced. In the database,
Wei Chi Cheng +3 more
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Active Tuning of Intrinsic Camera Parameters
IEEE Transactions on Automation Science and Engineering, 2009In the last years, the research effort of the scientific community to study systems for ambient intelligence has been really strong. Usually, the systems developed so far base their analysis on images acquired by automatic cameras. In this paper, we propose a way to develop new smart systems that are able to actively decide both what to see and how to ...
MICHELONI, Christian, FORESTI, Gian Luca
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2021
Regularized estimators consist of two terms, one for comparing model parameters to data and one for including prior information. The tuning parameters define the weighting: small tuning parameters emphasize the data, while large tuning parameters emphasize the prior information.
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Regularized estimators consist of two terms, one for comparing model parameters to data and one for including prior information. The tuning parameters define the weighting: small tuning parameters emphasize the data, while large tuning parameters emphasize the prior information.
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Parameter tuning for the MAX expert system
Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94, 2002We investigate methods for tuning numeric parameters in Nynex MAX, a telephone trouble screening expert system. Steepest descent, hillclimbing, and simulated annealing parameter adjustment strategies are applied to the problems of maximizing classification accuracy and minimizing misclassification cost.
Christopher J. Merz, Michael J. Pazzani
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Tuning parameters of the expected reciprocal rank
Proceedings of the 21st International Conference on World Wide Web, 2012There are several popular IR metrics based on an underlying user model. Most of them are parameterized. Usually parameters of these metrics are chosen on the basis of general considerations and not validated by experiments with real users. Particularly, the parameters of the Expected Reciprocal Rank measure are the normalized parameters of the DCG ...
Yury Logachev +2 more
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2016
Having shown that EMAS approaches are effective in solving selected benchmark and real-life problems, it would be interesting to take an insight into the exact features of the most important mechanism of EMAS, i.e. the distributed selection based on existence of non-renewable resource.
Aleksander Byrski +1 more
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Having shown that EMAS approaches are effective in solving selected benchmark and real-life problems, it would be interesting to take an insight into the exact features of the most important mechanism of EMAS, i.e. the distributed selection based on existence of non-renewable resource.
Aleksander Byrski +1 more
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A Parameters Tuning Algorithm in Wireless Networks
2014 IEEE Eighth International Conference on Software Security and Reliability-Companion, 2014The arbitration inter frame space, Contention window minimum and Contention window maximum are some of the most important parameters of 802.11e, and the enhanced parameters tuning algorithm is applied for their adjustment. To achieve the high quality of service (QoS), priority combinations strategy with simpleness and effectiveness is proposed. In such
Hua-Ching Chen +3 more
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The parameters tuning for evolutionary synthesis algorithm
Informatica (Slovenia), 2004Summary: This paper covers the evaluation and fine-tuning of different values of genetic operators parameters in the process of optimizing the designs of the integrated circuits. We investigated the interdependence of various values of these parameters in the use over the set of test-bench circuits, as well as their influ-ence on the quality of the ...
Papa, Gregor, Šilc, Jurij
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