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Face image of a human contains significant information in terms of gender, facial emotion, race, age and identity. Among these features, the age factor changes over the lifetime and highly affects the human face appearance. This paper proposes a new age estimation system to estimate the age of a human by his/her image. In the proposed method, Zernike Moments (ZM) are utilized for the first time and...
Designing a robust and accurate classifier is one of the most important goals in the machine learning society. This issue becomes crucial in the case of multi-class problems. In this research, a new architecture of cascaded classifiers is proposed to handle multi-class tasks. The stages of the proposed cascade are broken into some sub-stages; each contains a number of classifiers. Here, LogitBoost...
Recently, there is a growing interest to improve Non-negative Matrix Factorization (NMF) performance by developing efficient initialization methods. The aim of this paper is to estimate initial values for NMF components using Genetic algorithms (GAs). As far as NMF methods suffer from lack of convexity, the proposed method, here called NMF_GA can find a near optimal solution to initialize the NMF...
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