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Texture Features Selection for Visual Servoing of the Beating Heart
The First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006. BioRob 2006.
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10.1109/biorob.2006.1639109
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2006
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Cited By ~ 3
Author(s):
A. Noce
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J. Triboulet
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P. Poignet
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E. Dombre
Keyword(s):
Visual Servoing
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Texture Features
◽
Beating Heart
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Features Selection
◽
Selection For
Download Full-text
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Cited By
References
Texture Features Selection for Masses Detection In Digital Mammogram
IFMBE Proceedings - 4th Kuala Lumpur International Conference on Biomedical Engineering 2008
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10.1007/978-3-540-69139-6_157
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2008
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pp. 629-632
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Cited By ~ 10
Author(s):
Azlindawaty Mohd Khuzi
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R. Besar
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W. M. D. Wan Zaki
Keyword(s):
Texture Features
◽
Features Selection
◽
Digital Mammogram
◽
Selection For
Download Full-text
Optimized features selection for gender classification using optimization algorithms
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
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10.3906/elk-1203-51
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2013
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pp. 1479-1494
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Cited By ~ 4
Author(s):
Sajid Ali KHAN
◽
Muhammad NAZIR
◽
Naveed RIAZ
Keyword(s):
Optimization Algorithms
◽
Gender Classification
◽
Features Selection
◽
Selection For
Download Full-text
The Mathematical Model and Deep Learning Features Selection for Whorl Fingerprint Classifications
International Journal of Computational Intelligence Systems
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10.2991/ijcis.d.210318.002
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2021
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Author(s):
Ibrahim Jawarneh
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Nesreen Alsharman
Keyword(s):
Mathematical Model
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Deep Learning
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Features Selection
◽
Deep Learning Features
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Selection For
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The Mathematical Model
Download Full-text
Rule based features selection for the performance improvement of face recognition system
2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA)
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10.1109/c2spca.2013.6749387
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2013
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Author(s):
Vasudha S
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Neelamma K. Patil
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Lokesh R. Boregowda
Keyword(s):
Face Recognition
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Performance Improvement
◽
Recognition System
◽
Features Selection
◽
Rule Based
◽
Face Recognition System
◽
Selection For
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An Image Processing Method Based on Features Selection for Crop Plants and Weeds Discrimination Using RGB Images
Lecture Notes in Computer Science - Image and Signal Processing
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10.1007/978-3-319-94211-7_1
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2018
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pp. 3-10
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Cited By ~ 1
Author(s):
Ali Ahmad
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Rémy Guyonneau
◽
Franck Mercier
◽
Étienne Belin
Keyword(s):
Image Processing
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Processing Method
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Crop Plants
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Features Selection
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Image Processing Method
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Rgb Images
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Selection For
Download Full-text
Visual Servoing for Beating Heart Surgery
Visual Servoing via Advanced Numerical Methods - Lecture Notes in Control and Information Sciences
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10.1007/978-1-84996-089-2_6
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2010
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pp. 91-114
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Cited By ~ 3
Author(s):
Wael Bachta
◽
Pierre Renaud
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Ezio Malis
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Koichi Hashimoto
◽
Jacques Gangloff
Keyword(s):
Visual Servoing
◽
Heart Surgery
◽
Beating Heart
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Beating Heart Surgery
Download Full-text
PCA-Based Feature Selection for MRI Image Retrieval System Using Texture Features
Advances in Intelligent Systems and Computing - Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
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10.1007/978-81-322-2126-5_13
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2014
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pp. 109-117
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Cited By ~ 2
Author(s):
N. Kumaran
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R. Bhavani
Keyword(s):
Feature Selection
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Image Retrieval
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Retrieval System
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Texture Features
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Image Retrieval System
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Selection For
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Mri Image
Download Full-text
Object Signature Features Selection for Handwritten Jawi Recognition
Advances in Intelligent and Soft Computing - Distributed Computing and Artificial Intelligence
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10.1007/978-3-642-14883-5_88
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2010
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pp. 689-698
Author(s):
Mohammad Faidzul Nasrudin
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Khairuddin Omar
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Choong-Yeun Liong
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Mohamad Shanudin Zakaria
Keyword(s):
Features Selection
◽
Selection For
Download Full-text
Features Selection for Training Generator Excitation Neurocontroller Using Statistical Methods
Software Engineering and Computer Systems - Communications in Computer and Information Science
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10.1007/978-3-642-22170-5_31
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2011
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pp. 353-364
Author(s):
Abdul Ghani Abro
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Junita Mohamad Saleh
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Syafrudin bin Masri
Keyword(s):
Statistical Methods
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Features Selection
◽
Selection For
Download Full-text
A study on flow features selection for malicious activities detection in software defined networks
2018 International Conference on Military Communications and Information Systems (ICMCIS)
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10.1109/icmcis.2018.8398697
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2018
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Cited By ~ 2
Author(s):
Damian Jankowski
◽
Marek Amanowicz
Keyword(s):
Features Selection
◽
Software Defined Networks
◽
Flow Features
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Selection For
Download Full-text
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