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Face Recognition in Ideal and Noisy Conditions Using Support Vector Machines, PCA and LDA
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-69933-2_4openalex-snapshot
Securing Biometrics Applications
inferredcites →https://doi.org/10.1007/bfb0015522openalex-snapshot
Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
inferredcites →https://doi.org/10.1016/0925-2312(95)90026-8openalex-snapshot
Neural networks — A comprehensive foundation
inferredcites →https://doi.org/10.1016/j.imavis.2008.04.008openalex-snapshot
Robust face recognition under partial occlusion based on support vector machine with local Gaussian summation kernel
inferredcites →https://doi.org/10.1016/j.patrec.2008.05.010openalex-snapshot
Kernel maximum scatter difference based feature extraction and its application to face recognition
inferredcites →https://doi.org/10.1016/j.sigpro.2006.08.001openalex-snapshot
Speckle noise reduction in SAS imagery
inferredcites →https://doi.org/10.1016/s0262-8856(97)00070-xopenalex-snapshot
The FERET database and evaluation procedure for face-recognition algorithms
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/34.598228openalex-snapshot
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
inferredcites →https://doi.org/10.1109/34.879790openalex-snapshot
The FERET evaluation methodology for face-recognition algorithms
inferredcites →https://doi.org/10.1109/72.914517openalex-snapshot
An introduction to kernel-based learning algorithms
inferredcites →https://doi.org/10.1109/afgr.2002.4527207openalex-snapshot
Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods
inferredcites →https://doi.org/10.1109/cvpr.2004.1315214openalex-snapshot
Dual-space linear discriminant analysis for face recognition
inferredcites →https://doi.org/10.1109/eurcon.2009.5167814openalex-snapshot
Error concealment for classified texture images
inferredcites →https://doi.org/10.1109/ieeeconf12259.2007.4218933openalex-snapshot
Multi-Frame Image Restoration for Face Recognition
inferredcites →https://doi.org/10.1109/isccsp.2004.1296323openalex-snapshot
Artificial neural network-based face recognition
inferredcites →https://doi.org/10.1109/tcsvt.2003.818349openalex-snapshot
An Introduction to Biometric Recognition
inferredcites →https://doi.org/10.1109/tip.2005.852196openalex-snapshot
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
inferredcites →https://doi.org/10.1109/tpami.2005.33openalex-snapshot
KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition
inferredcites →https://doi.org/10.1155/2008/468693openalex-snapshot
Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition
inferredcites →https://doi.org/10.1201/9781315220413-4openalex-snapshot
An Introduction to Kernel-Based Learning Algorithms
inferredcites →https://doi.org/10.2307/2344977openalex-snapshot
Pattern Classification and Scene Analysis.
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
inferredcites →https://doi.org/10.6028/nist.ir.6264openalex-snapshot
The FERET evaluation methodology for face-recognition algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/tee.21776openalex-snapshot
An effective preprocessing method for subspace face recognition using genetic‐based clustering in ideal and noisy conditions
inferred← citeshttps://doi.org/10.1002/tee.21847openalex-snapshot
Robust intelligent PCA‐based face recognition framework using GNP‐fuzzy data mining
inferred← citeshttps://doi.org/10.1007/978-3-030-82199-9_23openalex-snapshot
Experimental Design of Artificial Neural-Network Solutions for Traffic Sign Recognition
inferred← citeshttps://doi.org/10.1007/978-3-319-28501-6_6openalex-snapshot
Assessment of Facial Recognition System Performance in Realistic Operating Environments
inferred← citeshttps://doi.org/10.1007/s00500-019-04150-9openalex-snapshot
A recognition–verification system for noisy faces based on an empirical mode decomposition with Green’s functions
inferred← citeshttps://doi.org/10.1016/j.psychres.2020.113499openalex-snapshot
Lower recognition thresholds for sad facial expressions in subthreshold depression: a longitudinal study
inferred← citeshttps://doi.org/10.1109/adcons.2013.16openalex-snapshot
Robust Face Recognition in the Presence of Noises and Blurring Effects by Fusing Appearance Based Techniques and Sparse Representation
inferred← citeshttps://doi.org/10.1109/cec.2011.5949645openalex-snapshot
A sequential subspace face recognition framework using genetic-based clustering
inferred← citeshttps://doi.org/10.1109/cube.2013.43openalex-snapshot
A Comparative Study on Score Level Fusion Techniques and MACE Gabor Filters for Face Recognition in the Presence of Noises and Blurring Effects
inferred← citeshttps://doi.org/10.1109/eurocon.2013.6625266openalex-snapshot
Face recognition under partial occlusion and noise
inferred← citeshttps://doi.org/10.1109/icbats54253.2022.9759028openalex-snapshot
Comparative Analysis to Improve the Image Accuracy In Face Recognition System Using Hybrid LDA Compared With PCA
inferred← citeshttps://doi.org/10.1109/icsmc.2011.6083735openalex-snapshot
A supervised learning framework for PCA-based face recognition using GNP fuzzy data mining
inferred← citeshttps://doi.org/10.1109/mc.2014.166openalex-snapshot
Smart AppStore: Expanding the Frontiers of Smartphone Ecosystems
inferred← citeshttps://doi.org/10.5772/18432openalex-snapshot
Efficiency of Recognition Methods for Single Sample per Person Based Face Recognition
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