Results 281 to 290 of about 172,692 (312)
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An efficient method for tuning handwriting parameters
Proceedings of Sixth International Conference on Document Analysis and Recognition, 2002Many problems in recognition involve making linear combinations of results from various experts. Computing the coefficients can be expensive because a single test run can take many minutes, hours, or even days, and many values need to be evaluated to find an optimum.
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Tuning of Multiple Parameters With a BIST System
IEEE Transactions on Circuits and Systems I: Regular Papers, 2017This paper presents a low-power built-in self-test system to compensate for mismatch and variations in CMOS IC. The system is designed and compiled on a low-power field programmable analog array (FPAA) fabricated on a 350-nm CMOS process. A second-order bandpass filter is used as a device under test.
Sahil Shah, Jennifer Hasler
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Design weighting parameter tuning of multivariable self-tuning controllers
Computers & Electrical Engineering, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Won Chul Cho, In Soo Lee, Kyung Youn Kim
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Learning Parameter Tuning for Object Extraction
2006This paper presents a learning-based method for parameter tuning of object recognition systems and its application to automatic road extraction from high resolution remotely sensed (HRRS) images. Our approach is based on region growing using fast marching level set method (FMLSM), and machine learning for automatically tuning its parameters.
Xiongcai Cai +2 more
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Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems
Heliyon, 2022Joseph Stephen Bassi +2 more
exaly
A Survey of Automatic Parameter Tuning Methods for Metaheuristics
IEEE Transactions on Evolutionary Computation, 2020Changwu Huang, Xin Yao
exaly
The Electrochemical Tuning of Transition Metal-Based Materials for Electrocatalysis
Electrochemical Energy Reviews, 2021Fangyi Cheng, Cheng Fangyi
exaly
Parameter-Efficient Fine-Tuning: Is There An Optimal Subset of Parameters to Tune?
Findings of the Association for Computational Linguistics: EACL 2024Max Ploner, Alan Akbik
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Parameter tuning for configuring and analyzing evolutionary algorithms
Swarm and Evolutionary Computation, 2011A E Eiben
exaly