FASTA-ELM: a fast adaptive shrinkage/thresholding algorithm for extreme learning machine and its application to gender recognition
Extreme learning machine (ELM) is an interesting algorithm for learning the hidden layer of single layer feed forward neural networks. However, one of the main shortcomings restricting further improvement of ELM is the complexity of singular value decomposition (SVD) for computing the Moore-Penrose...
Main Authors: | Mahmood, Saif F., Marhaban, Mohammad Hamiruce, Rokhani, Fakhrul Zaman, Samsudin, Khairulmizam, Arigbabu, Olasimbo Ayodeji |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017
|
Online Access: | http://psasir.upm.edu.my/id/eprint/61871/1/A%20fast%20adaptive%20shrinkage.pdf |
Similar Items
-
SVM–ELM: Pruning of Extreme Learning Machine with Support Vector Machines for Regression
by: Mahmood Saif F., et al.
Published: (2016-10-01) -
Soft biometric system using fuzzy logic decision fusion for identification
by: Ayodeji, Arigbabu Olasimbo
Published: (2014) -
Fasta files
by: Tang, C
Published: (2017) -
Smile detection using hybrid face representation
by: Arigbabu, Olasimbo Ayodeji, et al.
Published: (2016) -
Soft Biometrics: Gender Recognition from Unconstrained Face Images Using Local Feature Descriptor
by: Arigbabu, Olasimbo Ayodeji, et al.
Published: (2015)