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Mendeley readers
Chapter title |
Analysis of PCA and LDA Features for Facial Expression Recognition Using SVM and HMM Classifiers
|
---|---|
Chapter number | 11 |
Book title |
Techno-Societal 2018
|
Published by |
Springer, Cham, January 2020
|
DOI | 10.1007/978-3-030-16848-3_11 |
Book ISBNs |
978-3-03-016847-6, 978-3-03-016848-3
|
Authors |
Satishkumar Varma, Megha Shinde, Satishkumar S. Chavan, Varma, Satishkumar, Shinde, Megha, Chavan, Satishkumar S. |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 4 | 27% |
Student > Ph. D. Student | 3 | 20% |
Researcher | 2 | 13% |
Student > Bachelor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 0 | 0% |
Unknown | 4 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 53% |
Nursing and Health Professions | 1 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Unknown | 5 | 33% |