Applications such as human–computer interaction, surveillance, biometrics and intelligent
marketing would benefit greatly from knowledge of the attributes of the human subjects …

Theory, algorithms, and applications of machine learning techniques to overcome" covariate
shift" non-stationarity. As the power of computing has grown over the past few decades, the …

An image classification technique, which has recently been introduced for visual pattern
recognition, is successfully applied for human gait classification based on radar Doppler …

Identifikasi identitas individu melalui pengenalan wajah secara otomatis merupakan suatu
persoalan besar yang menarik dan banyak sekali berbagai macam pendekatan untuk …

Pedestrians' gender is a soft attribute which is useful in many areas of computer vision
including human robot interaction, intelligent surveillance and human behavior analysis …

Automatic gender recognition has now pertinent to an extension of its usage in various
software and hardware, particularly because of the growth of online social networking …

Face recognition remains a challenging problem till today. The main challenge is how to
improve the recognition performance when affected by the variability of non-linear effects …

An approach using a convolutional neural network (CNN) is proposed for real-time gender
classification based on facial images. The proposed CNN architecture exhibits a much …

Gender is an important demographic attribute of people. This paper provides a survey of
human gender recognition in computer vision. A review of approaches exploiting information …

We present a noise resilient probabilistic model for active learning of a Gaussian process
classifier from crowds, ie, a set of noisy labelers. It explicitly models both the overall label …