Comparative Study of Three Machine Visual Recognition Algorithms in Identification of Un-vibrated Concrete

Mapping Intimacies ◽

10.1109/ichceswidr54323.2021.9656366 ◽

2021 ◽

Author(s):

Rui Lin ◽

Feng Yi ◽

Shenghua Lu ◽

Sheng Qiang

Keyword(s):

Comparative Study ◽

Visual Recognition ◽

Recognition Algorithms

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A Comparative Study on Mobile Visual Recognition

Machine Learning and Data Mining in Pattern Recognition - Lecture Notes in Computer Science ◽

10.1007/978-3-642-39712-7_34 ◽

2013 ◽

pp. 442-457 ◽

Author(s):

Elisavet Chatzilari ◽

Georgios Liaros ◽

Spiros Nikolopoulos ◽

Yiannis Kompatsiaris

Keyword(s):

Comparative Study ◽

Visual Recognition

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A comparative study of the performance of local feature-based pattern recognition algorithms

Pattern Analysis and Applications ◽

10.1007/s10044-016-0554-y ◽

2016 ◽

Vol 20 (4) ◽

pp. 1145-1156 ◽

Author(s):

Narges Roshanbin ◽

James Miller

Keyword(s):

Pattern Recognition ◽

Comparative Study ◽

Local Feature ◽

Recognition Algorithms ◽

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A Comparative Study of Various Face Recognition Algorithms (Feature Based, Eigen Based, Line Based, Neural Network Approaches)

2003 IEEE International Workshop on Computer Architectures for Machine Perception ◽

10.1109/camp.2003.1598161 ◽

2006 ◽

Author(s):

S.K. Singh ◽

M. Vatsa ◽

R. Singh ◽

K.K. Shukla

Keyword(s):

Neural Network ◽

Face Recognition ◽

Comparative Study ◽

Recognition Algorithms ◽

Feature Based ◽

Network Approaches

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A Comparative Study on Different License Plate Recognition Algorithms

Communications in Computer and Information Science - Digital Information and Communication Technology and Its Applications ◽

10.1007/978-3-642-22027-2_57 ◽

2011 ◽

pp. 686-691 ◽

Author(s):

Hadi Sharifi ◽

Asadollah Shahbahrami

Keyword(s):

Comparative Study ◽

License Plate ◽

License Plate Recognition ◽

Recognition Algorithms

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A Comparative Study on the Drum Sound Recognition Algorithms Based Deep Learning

2021 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter) ◽

10.1109/snpdwinter52325.2021.00074 ◽

2021 ◽

Author(s):

Sang Wook Lee ◽

Jae Hyuk Heo ◽

Sung Taek Lee

Keyword(s):

Deep Learning ◽

Comparative Study ◽

Sound Recognition ◽

Recognition Algorithms

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A Comparative Study of Aggressive Driving Behavior Recognition Algorithms Based on Vehicle Motion Data

IEEE Access ◽

10.1109/access.2018.2889751 ◽

2019 ◽

Vol 7 ◽

pp. 8028-8038 ◽

Author(s):

Yongfeng Ma ◽

Ziyu Zhang ◽

Shuyan Chen ◽

Yanan Yu ◽

Kun Tang

Keyword(s):

Comparative Study ◽

Driving Behavior ◽

Aggressive Driving ◽

Behavior Recognition ◽

Motion Data ◽

Recognition Algorithms ◽

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Comparative study of dimension reduction and recognition algorithms of DCT and 2DPCA

2008 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2008.4620440 ◽

2008 ◽

Author(s):

Bin Jiang ◽

Guo-Sheng Yang ◽

Huan-Long Zhang

Keyword(s):

Comparative Study ◽

Dimension Reduction ◽

Recognition Algorithms

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A Comparative Study of Palmprint Recognition Algorithms

ACM Computing Surveys ◽

10.1145/2071389.2071391 ◽

2012 ◽

Vol 44 (1) ◽

pp. 1-37 ◽

Author(s):

David Zhang ◽

Wangmeng Zuo ◽

Feng Yue

Keyword(s):

Comparative Study ◽

Palmprint Recognition ◽

Recognition Algorithms

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Visual recognition and P300: a comparative study of schizophrenics and normals

Electroencephalography and Clinical Neurophysiology ◽

10.1016/0013-4694(91)90342-2 ◽

1991 ◽

Vol 79 (5) ◽

pp. S29

Keyword(s):

Comparative Study ◽

Visual Recognition

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FEATURES OF FACIAL RECOGNITION

Bulletin Series of Physics & Mathematical Sciences ◽

10.51889/2020-1.1728-7901.67 ◽

2020 ◽

Vol 69 (1) ◽

pp. 374-377

Author(s):

F.U. Malikova ◽

◽

N.ZH. Zhanat ◽

A.K. Saginayeva ◽

R.S. Ryskeldy ◽

...

Keyword(s):

Comparative Study ◽

Facial Recognition ◽

Recognition System ◽

Functional Testing ◽

Data Set ◽

Recognition Algorithms ◽

Facial Recognition System

The facial recognition system is used to provide identification and authentication during functional testing. It can also be used to identify people in different situations. This article presents a comparative study of the algorithms used for facial isolation and recognition. Algorithms are general algorithms that match a recognizable face. The concept of each algorithm is explained and a corresponding description is given. In addition, the results of the algorithms are evaluated in a data set and are displayed as graphs for evaluating the effectiveness of each algorithm. Algorithms work with a common data set and display the percentage of functions obtained.

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