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Face Recognition using Wavelets based Feature Extraction and PCA-L1 norm

https://doi.org/10.1109/vitecon.2019.8899364
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-1904-8openalex-snapshot
Principal Component Analysis
inferredcites →https://doi.org/10.1016/j.procs.2019.01.046openalex-snapshot
New fusion of SVD and Relevance Weighted LDA for face recognition
inferredcites →https://doi.org/10.1063/1.4823127openalex-snapshot
Ten Lectures on Wavelets
inferredcites →https://doi.org/10.1109/34.192463openalex-snapshot
A theory for multiresolution signal decomposition: the wavelet representation
inferredcites →https://doi.org/10.1109/cvpr.1991.139758openalex-snapshot
Face recognition using eigenfaces
inferredcites →https://doi.org/10.1109/isspit.2007.4458158openalex-snapshot
Face Recognition using Multiresolution PCA
inferredcites →https://doi.org/10.1109/tpami.2008.114openalex-snapshot
Principal Component Analysis Based on L1-Norm Maximization
inferredcites →https://doi.org/10.2307/1270093openalex-snapshot
Principal Component Analysis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4115156openalex-extracted
Lightcnn-Consistent Makeup Transfer on Generative Adversarial Networks⋆
inferred← citeshttps://doi.org/10.1007/978-3-030-68291-0_23openalex-snapshot
Face Recognition Using Transfer Learning on Facenet: Application to Banking Operations
inferred← citeshttps://doi.org/10.1007/978-3-031-29860-8_48openalex-snapshot
Improved Fusion of SVD and Relevance Weighted LDA Algorithms via Symmetric Sum‑Based Rules for Face Recognition
inferred← citeshttps://doi.org/10.1007/978-3-031-68675-7_30openalex-snapshot
Face Recognition Based on Fuzzy Connective Fusion of SVD and RWLDA Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-96-3525-2_4openalex-snapshot
SAE-EDA: Sparse AutoEncoder-Based Feature Extraction and Exponential Discriminant Analysis for Robust Face Recognition
inferred← citeshttps://doi.org/10.1007/s11042-021-10745-yopenalex-snapshot
Cross-resolution face identification using deep-convolutional neural network
inferred← citeshttps://doi.org/10.1080/13682199.2023.2176735openalex-snapshot
A lightweight convolutional neural network built on inceptio-residual and reduction modules for deep facial recognition in realistic conditions
inferred← citeshttps://doi.org/10.1109/access.2021.3076359openalex-snapshot
DeepWTPCA-L1: A New Deep Face Recognition Model Based on WTPCA-L1 Norm Features
inferred← citeshttps://doi.org/10.1109/access.2022.3184616openalex-snapshot
LWKPCA: A New Robust Method for Face Recognition Under Adverse Conditions
inferred← citeshttps://doi.org/10.1109/icmla58977.2023.00217openalex-snapshot
Evaluating Impact of Wearing Masks in Face Recognition Using Deep Learning Algorithms
inferred← citeshttps://doi.org/10.1109/iscv60512.2024.10620164openalex-snapshot
Face recognition using Nuclear Norm-based Angle Two-Dimensional Principal Component Analysis
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v10i10p107openalex-snapshot
Face Recognition Based on Windowing Techniques, with Compressed Hybrid Domain Features
inferred← citeshttps://doi.org/10.3233/ida-205377openalex-snapshot
Robust face recognition based on a new Kernel-PCA using RRQR factorization
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