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Expression of Concern: Facial feature discovery for ethnicity recognition

https://doi.org/10.1002/widm.1278
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-0348-5737-6openalex-snapshot
Computer recognition of human faces
inferredcites →https://doi.org/10.1007/978-3-540-88690-7_4openalex-snapshot
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
inferredcites →https://doi.org/10.1016/j.neucom.2015.10.089openalex-snapshot
Semantic description method for face features of larger Chinese ethnic groups based on improved WM method
inferredcites →https://doi.org/10.1016/j.neucom.2017.02.070openalex-snapshot
Multi-ethnic facial features extraction based on axiomatic fuzzy set theory
inferredcites →https://doi.org/10.1016/j.patrec.2012.09.024openalex-snapshot
Collaborative neighbor representation based classification using -minimization approach
inferredcites →https://doi.org/10.1016/j.tics.2009.10.002openalex-snapshot
The neural correlates of race
inferredcites →https://doi.org/10.1037//0278-7393.22.6.1364openalex-snapshot
Classifying faces by race: The structure of face categories.
inferredcites →https://doi.org/10.1068/p6703openalex-snapshot
No Role for Lightness in the Perception of Black and White? Simultaneous Contrast Affects Perceived Skin Tone, but Not Perceived Race
inferredcites →https://doi.org/10.1093/annhyg/men056openalex-snapshot
Head-and-Face Anthropometric Survey of Chinese Workers
inferredcites →https://doi.org/10.1097/00006534-199508000-00036openalex-snapshot
Anthropometry of the Head and Face
inferredcites →https://doi.org/10.1109/34.254061openalex-snapshot
Face recognition: features versus templates
inferredcites →https://doi.org/10.1109/acv.1994.341300openalex-snapshot
Parameterisation of a stochastic model for human face identification
inferredcites →https://doi.org/10.1109/cvpr.2013.453openalex-snapshot
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification
inferredcites →https://doi.org/10.1109/cvpr.2015.7298907openalex-snapshot
Deeply learned face representations are sparse, selective, and robust
inferredcites →https://doi.org/10.1109/cvpr.2017.411openalex-snapshot
Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization
inferredcites →https://doi.org/10.1109/cvpr.2017.44openalex-snapshot
Face Normals "In-the-Wild" Using Fully Convolutional Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.463openalex-snapshot
Age Progression/Regression by Conditional Adversarial Autoencoder
inferredcites →https://doi.org/10.1109/cvpr.2017.86openalex-snapshot
Using Ranking-CNN for Age Estimation
inferredcites →https://doi.org/10.1109/fg.2013.6553694openalex-snapshot
2013 10th IEEE International Conference and workshops on Automatic Face and Gesture Recognition (FG)
inferredcites →https://doi.org/10.1109/fg.2013.6553815openalex-snapshot
Facial ethnicity classification based on boosted local texture and shape descriptions
inferredcites →https://doi.org/10.1109/fg.2017.118openalex-snapshot
Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset
inferredcites →https://doi.org/10.1109/iccvw.2011.6130512openalex-snapshot
Manifold based Sparse Representation for robust expression recognition without neutral subtraction
inferredcites →https://doi.org/10.1109/icip.2010.5652363openalex-snapshot
Metaface learning for sparse representation based face recognition
inferredcites →https://doi.org/10.1109/icpr.2016.7900178openalex-snapshot
Discriminant auto encoders for face recognition with expression and pose variations
inferredcites →https://doi.org/10.1109/ijcnn.2011.6033421openalex-snapshot
Spiking neural networks based cortex like mechanism: A case study for facial expression recognition
inferredcites →https://doi.org/10.1109/pria.2013.6528433openalex-snapshot
Illumination invariant face recognition using SQI and weighted LBP histogram
inferredcites →https://doi.org/10.1109/tcyb.2017.2734043openalex-snapshot
Stochastic Configuration Networks: Fundamentals and Algorithms
inferredcites →https://doi.org/10.1109/tip.2018.2835143openalex-snapshot
Gabor Convolutional Networks
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1109/tpami.2007.1008openalex-snapshot
Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics
inferredcites →https://doi.org/10.1109/tpami.2008.79openalex-snapshot
Robust Face Recognition via Sparse Representation
inferredcites →https://doi.org/10.1109/tpami.2011.112openalex-snapshot
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation
inferredcites →https://doi.org/10.1109/tpami.2011.48openalex-snapshot
Describable Visual Attributes for Face Verification and Image Search
inferredcites →https://doi.org/10.1109/tpami.2014.2321570openalex-snapshot
Learning Race from Face: A Survey
inferredcites →https://doi.org/10.1109/tsp.2006.881199openalex-snapshot
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
inferredcites →https://doi.org/10.1111/j.1532-7078.2010.00066.xopenalex-snapshot
Minimizing Skin Color Differences Does Not Eliminate the Own-Race Recognition Advantage in Infants
inferredcites →https://doi.org/10.1142/s0219720005001004openalex-snapshot
MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA
inferredcites →https://doi.org/10.1162/jocn.1991.3.1.71openalex-snapshot
Eigenfaces for Recognition
inferredcites →https://doi.org/10.1515/9780857455604-002openalex-snapshot
1. Race, Ethnicity and Nation: Perspectives from Kinship and Genetics
inferredcites →https://doi.org/10.3167/9781845453558openalex-snapshot
RACE, ETHNICITY, AND NATION
inferredcites →https://doi.org/10.4018/978-1-59904-849-9.ch213openalex-snapshot
State-of-the-Art on Video-Based Face Recognition
inferredcites →https://doi.org/10.5220/0004680003800387openalex-snapshot
Active Shape Models with SIFT Descriptors and MARS
inferredcites →https://doi.org/10.5281/zenodo.1087014openalex-snapshot
Fusing Local Binary Patterns With Wavelet Features For Ethnicity Identification
inferredcites →https://doi.org/10.5555/1756006.1953016openalex-snapshot
WEKA---Experiences with a Java Open-Source Project
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.1351openalex-snapshot
Facial feature discovery for ethnicity recognition
inferred← citeshttps://doi.org/10.1002/widm.1370openalex-snapshot
Publisher's Note: Wang, C., Zhang, Q., Liu, W., Liu, Y. & Miao, L. Facial feature discovery for ethnicity recognition. WIREs Data Mining Knowl. Discov. 9, e1278 (2019). https://doi.org/10.1002/widm.1278
inferred← citeshttps://doi.org/10.1002/widm.1446openalex-snapshot
Facial feature discovery for ethnicity recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-93314-2_8openalex-snapshot
Race Recognition Using Enhanced Local Binary Pattern
inferred← citeshttps://doi.org/10.1007/978-3-031-87660-8_28openalex-snapshot
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence-Induced Loss Function and Dual Attention
inferred← citeshttps://doi.org/10.1007/978-981-16-1502-3_52openalex-snapshot
Deep Learning Based Facial Feature Detection for Ethnicity Recognition
inferred← citeshttps://doi.org/10.1016/j.procs.2020.02.185openalex-snapshot
Eye-Tracking Based L2 Detection: Universal and Specific Eye Movement Patterns in L1 and L2 Reading
inferred← citeshttps://doi.org/10.1038/d41586-019-03775-yopenalex-snapshot
Science publishers review ethics of research on Chinese minority groups
inferred← citeshttps://doi.org/10.1038/d41586-020-03187-3openalex-snapshot
The ethical questions that haunt facial-recognition research
inferred← citeshttps://doi.org/10.1038/d41586-024-00170-0openalex-snapshot
Unethical studies on Chinese minority groups are being retracted — but not fast enough, critics say
inferred← citeshttps://doi.org/10.1080/1369118x.2020.1808043openalex-snapshot
Twinned power: formations of cloud-edge control
inferred← citeshttps://doi.org/10.1080/20421338.2022.2072793openalex-snapshot
Perception of government employees on the use of biometric technology in determining a person’s ethnic group in Nigeria
inferred← citeshttps://doi.org/10.1088/1757-899x/1077/1/012040openalex-snapshot
Indonesian Ethnicity Recognition Based on Face Image Using Gray Level Co-occurrence Matrix and Color Histogram
inferred← citeshttps://doi.org/10.1109/access.2020.3028694openalex-snapshot
Facial Anthropometric Measurements and Photographs — An Interdisciplinary Study
inferred← citeshttps://doi.org/10.1109/fg.2019.8756595openalex-snapshot
On the effect of age perception biases for real age regression
inferred← citeshttps://doi.org/10.1109/fg57933.2023.10042748openalex-snapshot
Self-supervised Learning for Fine-grained Ethnicity Classification under Limited Labeled Data
inferred← citeshttps://doi.org/10.1109/icai52203.2021.9445248openalex-snapshot
Classification of Demographic Attributes from Facial Image by using CNN
inferred← citeshttps://doi.org/10.1109/icicos51170.2020.9299103openalex-snapshot
Indonesian Ethnicity Recognition Based on Face Image Using Uniform Local Binary Pattern (ULBP) and Color Histogram
inferred← citeshttps://doi.org/10.1145/3460120.3484533openalex-snapshot
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
inferred← citeshttps://doi.org/10.1145/3479594openalex-snapshot
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
inferred← citeshttps://doi.org/10.1145/3592813.3592901openalex-snapshot
Machine-based Stereotypes: How Machine Learning Algorithms Evaluate Ethnicity from Face Data
inferred← citeshttps://doi.org/10.17645/mac.v8i2.2761openalex-snapshot
Staying at the Edge of Privacy: Edge Computing and Impersonal Extraction
inferred← citeshttps://doi.org/10.2298/tsci22s1353aopenalex-snapshot
Automated ethnicity recognition using equilibrium optimizer with machine learning on facial images
inferred← citeshttps://doi.org/10.26686/wfeess.vi.7642openalex-snapshot
Code of Ethics for Facial Recognition
inferred← citeshttps://doi.org/10.26686/wfeess.vi.7644openalex-snapshot
Recommendations for Ethical Usage of Facial Recognition Technology
inferred← citeshttps://doi.org/10.31234/osf.io/c8ertopenalex-snapshot
The DECIDE Framework: Describing Ethical Choices in Digital-Behavioral-Data Explorations
inferred← citeshttps://doi.org/10.3998/mpub.12584902openalex-snapshot
Technical Territories
inferred← citeshttps://doi.org/10.48550/arxiv.2104.02471openalex-snapshot
A Facial Feature Discovery Framework for Race Classification Using Deep Learning
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