… To evaluate the effectiveness of our method, FASTA-ELM is implemented on 5 … In Section
4, we provide the gender recognition application benchmark to validate the efficiency of the …

… Authors in [14], proposed a dictionary learning approach for gender … learning method ie a
Dictionary learning gender classification (DL-GC) and a Separate Dictionary Learning gender …

… to learn the discriminative LBP histogram bins for better gender classification. They observed
that the most discriminative in gender recognition … and the proposed method has produced …

… The deep learning method has been used in several techniques for sex classification In this
article, by that the layers, we enhance the deep convolution neural network structure and pre…

… Recently, deep learning networks were employed for image … Section 2 describes the
methodology, including the image … method, and discusses the pros and cons of our method …

… new method for veiled-face classification and recognition of … ability of a VGG19 to gender
recognition from VPI-new dataset. … Table 7 shows the accuracy of gender recognition from VPI-…

… The first method can be seen as a special case of the second, using 0 cy cles (or half
cycles, if you prefer). The learning rate was decreased during the cycling process. This is in …

… a gender classification method anchored in face recognition feature vectors. Initially, input
images undergo face recognition … Subsequently, the data is processed by the face recognition …

… on gender recognition accuracy [37]. In a 2013 paper, Kosinski et al. presented a method to
… Researchers have further called into question the concept of “fairness” in machine learning, …

… of phone calls by gender, voice tagging, STT, etc. Predicting gender from audio signals is
a … and classification with machine learning is proposed for gender estimation from Turkish …