A Althnian, N Aloboud, N Alkharashi, F Alduwaish… - Applied Sciences, 2020 - mdpi.com
… methodology to compare the performances of two classification methods and seven feature extraction methods in the domain of genderrecognition … learning model in genderrecognition…
JL Cabra, D Mendez, LC Trujillo - Proceedings of the 2018 2nd …, 2018 - dl.acm.org
… With the method employed in our paper the KNN recognition rate is enhanced. Moreover, using a wide feature vector Rezgui et al. with soft margin SVM combines 21 temporal and …
E Fazl-Ersi, ME Mousa-Pasandi… - … on Image Processing …, 2014 - ieeexplore.ieee.org
… of the proposed face representation method. Section 3 describes the learning and classification … In this paper we presented a novel gender and age classification method, that unlike the …
… recognition problem, we also apply our methodology to investigate another challenging problem which is spatiotemporal-based genderrecognition … features and AdaBoost learning. The …
A Pahwa, G Aggarwal - International Journal of Image, Graphics and …, 2016 - academia.edu
… the most researched among various machine learning algorithms and has also evolved a promising alternative to other classifiers. NN is a self-adaptive method that is data driven, that is…
S Amilia, MD Sulistiyo… - 2015 3rd International …, 2015 - ieeexplore.ieee.org
… system can be built by using K-Nearest Neighbor classification method with … gender recognition system based on face image. The earliest research of automatic genderrecognition …
M Afifi - Multimedia Tools and Applications, 2019 - Springer
… only possesses distinctive feature for gender information, it is … hand images for gender recognition or biometric identification, … learning-based method to tackle the genderrecognition and …
… that the Deep Learningmethod's accuracy is … Genderrecognition is one of the research topics that is currently developing. Some researchers conduct research in genderrecognition …
MA Uddin, MS Hossain, RK Pathan… - … on innovations in …, 2020 - ieeexplore.ieee.org
… This paper represents an efficient system of genderrecognition with machine learning … the accuracy of our work and to apply the genderrecognitionmethod into a real-time system. In …