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Face and Expression Recognition

TopicLeading institutions, researchers & key papers

Face and Expression Recognition is a topic indexed in ScholarIQ from OpenAlex.

What is known about Face and Expression Recognition?

ScholarIQrecord summary

This cluster of papers focuses on the application of various machine learning and dimensionality reduction techniques to the field of face recognition. It covers topics such as feature selection, support vector machines, ensemble methods, local binary patterns, non-negative matrix factorization, spectral clustering, Laplacian eigenmaps, and sparse representation in the context of face recognition.

How many works does Face and Expression Recognition have?

ScholarIQindexed works

Face and Expression Recognition has 177 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Face and Expression Recognition?

ScholarIQopenalex

The OpenAlex for Face and Expression Recognition is on the source record.

What are the most-cited papers on Face and Expression Recognition?

ScholarIQmost cited works
Regularization Paths for Generalized Linear Models via Coordinate Descent
Jerome H. Friedman, Trevor Hastie, Robert Tibshirani
Journal of Statistical Software. 201017,408 CitationsOPEN ACCESS
Linear discriminant analysis: A detailed tutorial
Alaa Tharwat, Tarek Gaber, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Aboul Ella Hassanien
AI Communications. 20171,078 CitationsOPEN ACCESS
Selecting critical features for data classification based on machine learning methods
Rung-Ching Chen, Christine Dewi, Su-Wen Huang, Rezzy Eko Caraka
Journal Of Big Data. 2020988 CitationsOPEN ACCESS
Co-regularized Multi-view Spectral Clustering
Abhishek Kumar, Piyush Rai, Hal Daumé
2011933 Citations
The FERET evaluation methodology for face-recognition algorithms
P. Jonathon Phillips, Hyeonjoon Moon, Patrick J. Rauss, Syed A. Rizvi
2002590 Citations

Where is Face and Expression Recognition research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Face and Expression Recognition is open access?

ScholarIQopen access share
40%OPEN ACCESS
Gold
33%
Green
7%
Hybrid
0%
Bronze
0%
Closed
60%

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