Defocus Blur Segmentation Using Genetic Programming and Adaptive Threshold

Computers Materials & Continua ◽

10.32604/cmc.2022.019544 ◽

2022 ◽

Vol 70 (3) ◽

pp. 4867-4882

Author(s):

Muhammad Tariq Mahmood

Keyword(s):

Genetic Programming ◽

Adaptive Threshold ◽

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Practical Usages of a Neuro-genetic Programming for Short-term Water Level Prediction

International Conference on Biological, Environment and Food Engineering (BEFE-2014) August 4-5, 2014 Bali (Indonesia) ◽

10.15242/iicbe.c814068 ◽

2014 ◽

Keyword(s):

Genetic Programming ◽

Water Level ◽

Water Level Prediction

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Probabilistic Model Building Genetic Programming based on Estimation of Bayesian Network

Transactions of the Japanese Society for Artificial Intelligence ◽

10.1527/tjsai.22.37 ◽

2007 ◽

Vol 22 ◽

pp. 37-47 ◽

Author(s):

Yoshihiko Hasegawa ◽

Hitoshi Iba

Keyword(s):

Genetic Programming ◽

Bayesian Network ◽

Probabilistic Model ◽

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Automatic Generation of English-Japanese Translation Pattern Utilizing Genetic Programming Technique

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.130.1078 ◽

2010 ◽

Vol 130 (6) ◽

pp. 1078-1088

Author(s):

Koki Matsumura ◽

Yuji Tamekuni ◽

Shuhei Kimura

Keyword(s):

Genetic Programming ◽

Automatic Generation ◽

Programming Technique ◽

Japanese Translation

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Adaptive Threshold Control for a 1-bit ADC in a Low Complex IR-UWB Receiver

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e92.a.677 ◽

2009 ◽

Vol E92-A (2) ◽

pp. 677-680

Author(s):

Soon-Woo LEE ◽

Young-Jin PARK ◽

Yong-Hwa KIM ◽

Kwan-Ho KIM

Keyword(s):

Adaptive Threshold ◽

Threshold Control ◽

Low Complex ◽

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Classification of EEG Signals using Genetic Programming

10.26678/abcm.cobem2017.cob17-1839 ◽

2017 ◽

Author(s):

Marco Antonio Meggiolaro ◽

Felipe Rebelo Lopes

Keyword(s):

Genetic Programming ◽

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Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint

Revue d intelligence artificielle ◽

10.3166/ria.20.805-827 ◽

2006 ◽

Vol 20 (6) ◽

pp. 805-827 ◽

Author(s):

Sylvain Gelly ◽

Olivier Teytaud ◽

Nicolas Bredeche ◽

Marc Schoenauer

Keyword(s):

Genetic Programming ◽

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

Universal Consistency ◽

Theoretical Considerations

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Application of Genetic Programming for Generation of Controllers Represented by Automata

13th IFAC Symposium on Information Control Problems in Manufacturing ◽

10.3182/20090603-3-ru-2001.00113 ◽

2009 ◽

Author(s):

Davydov, Andrey

Keyword(s):

Genetic Programming

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Faculty Opinions recommendation of Order effects in two-alternative forced-choice tasks invalidate adaptive threshold estimates.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.737664506.793574551 ◽

2020 ◽

Author(s):

David H Foster

Keyword(s):

Adaptive Threshold ◽

Forced Choice ◽

Order Effects ◽

Forced Choice Tasks ◽

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Sparsity adaptive matching pursuit algorithm based on adaptive threshold for OFDM sparse channel estimation

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.01508 ◽

2013 ◽

Vol 33 (6) ◽

pp. 1508-1510

Author(s):

Shan JIANG ◽

Hongbing QIU ◽

Xu HAN

Keyword(s):

Channel Estimation ◽

Matching Pursuit ◽

Adaptive Threshold ◽

Sparse Channel Estimation ◽

Matching Pursuit Algorithm ◽

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Improved Canny edge detection method based on self-adaptive threshold

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.02296 ◽

2013 ◽

Vol 32 (8) ◽

pp. 2296-2298 ◽

Author(s):

Fan ZHANG ◽

Zhong-wei PENG ◽

Shui-jin MENG

Keyword(s):

Edge Detection ◽

Detection Method ◽

Adaptive Threshold ◽

Canny Edge Detection ◽

Edge Detection Method ◽

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