has been cited by the following article(s):
[1]
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Feature Extraction of 3T3 Fibroblast Microtubule Based on Discrete Wavelet Transform and Lucy–Richardson Deconvolution Methods
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Micromachines,
2022 |
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[2]
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Bioimage postprocessing based on discrete wavelet transform and Lucy-Richardson deconvolution methods
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bioRxiv,
2021 |
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[3]
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Using Contourlet Transform Based RBFN Classifier for Face Detection and Recognition
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2018 |
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[4]
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A Robust Face Recognition Approach through Symbolic Modeling of Polar FFT features
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Pattern Recognition,
2017 |
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[5]
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Image Compression with Singular Value Decomposition & Correlation: a Graphical Analysis
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2017 |
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[6]
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A survey on techniques to handle face recognition challenges: occlusion, single sample per subject and expression
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Artificial Intelligence Review,
2017 |
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[7]
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An Advancement towards Efficient Face Recognition Using Live Video Feed:" For the Future"
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2017 |
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[8]
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Two Dimensionality Reduction Techniques for SURF Based Face Recognition
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Procedia Computer Science,
2016 |
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[9]
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An Efficient SVD's Principle Components for Face Recognition
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2016 |
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[10]
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Face Recognition Using Hybrid Feature Space in Conjunction with Support Vector Machine
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J. Appl. Environ. Biol. Sci,
2015 |
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[11]
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Face Recognition Using Ensemble Feature Space in Combination with Support Vector Machine
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2015 |
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[12]
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Face recognition using hybrid feature space in conjunction with support
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2015 |
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[13]
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An Investigation of fSVD and Ridgelet Transform for Illumination and Expression Invariant Face Recognition
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Advances in Intelligent Informatics,
2015 |
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[14]
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A Brief Review on Feature Based Approaches for Face Recognition
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2015 |
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[15]
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一种用于人脸识别的非迭代 GLRAM 算法
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西安电子科技大学学报,
2014 |
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[16]
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A Novel Permutation Based Approach for Effective and Efficient Representation of Face Images under Varying Illuminations
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International Journal of Advanced Computer Science & Applications,
2013 |
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[17]
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Face Recognition Using Singular Value Decomposition of Facial Colour Image Database
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2013 |
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[1]
|
Feature Extraction of 3T3 Fibroblast Microtubule Based on Discrete Wavelet Transform and Lucy–Richardson Deconvolution Methods
Micromachines,
2022
DOI:10.3390/mi13060824
|
|
|
[2]
|
A Robust Face Recognition Approach through Symbolic Modeling of Polar FFT features
Pattern Recognition,
2017
DOI:10.1016/j.patcog.2017.06.014
|
|
|
[3]
|
An Advancement towards Efficient Face Recognition Using Live Video Feed: "For the Future"
2017 3rd International Conference on Computational Intelligence and Networks (CINE),
2017
DOI:10.1109/CINE.2017.21
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|
|
[4]
|
Two Dimensionality Reduction Techniques for SURF Based Face Recognition
Procedia Computer Science,
2016
DOI:10.1016/j.procs.2016.05.222
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[5]
|
Quantitative Analysis of Kernel Principal Components and Kernel Fishers Based Face Recognition Algorithms Using Hybrid Gaborlets
Procedia Computer Science,
2015
DOI:10.1016/j.procs.2015.08.029
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[6]
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Advances in Intelligent Informatics
Advances in Intelligent Systems and Computing,
2015
DOI:10.1007/978-3-319-11218-3_4
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[7]
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Advances in Intelligent Informatics
Advances in Intelligent Systems and Computing,
2015
DOI:10.1007/978-3-319-11218-3_4
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