automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. it has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. in this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. it is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. there are three main petrophysical...

considering that once-through benson boiler is one of the most crucial equipment of a thermal power plant, occurrence of any fault in its different parts can lead to decrease of the performance of system, and even may cause system damage and endanger the human life. in this paper, due to the high complexity of the system's dynamic equations, we utilized data-based method for diagnosing the faul...

each license plate recognition system is composed of three main parts, namely, license plate detection, character segmentation and character recognition. in this paper, we focus on the improvement and innovation of the character recognition step. for this purpose, a new hierarchical architecture based on support vector machines (svms) is suggested for persian license plate characters recognitio...

Due to the non-smoothness of Hinge loss in SVM, it is difficult obtain a faster convergence rate with modern optimization algorithms. In this paper, we introduce two smooth losses ψG(α;σ) and ψM(α;σ) which are infinitely differentiable converge uniformly α as σ tends 0. By replacing these losses, support vector machines (SSVMs), respectively. Solving SSVMs Trust Region Newton method (TRON) lead...

Mealiness degrades the quality of apples and plays an important role in fruit market. Therefore, the use of reliable and rapid sensing techniques for nondestructive measurement and sorting of fruits is necessary. In this study, the potential of acoustic signals of rolling apples on an inclined plate as a new technique for nondestructive detection of Red Delicious apple mealiness was investigate...

This off-line study aims to assess the performance of five classifiers commonly used in the brain-computer interface (BCI) community, when applied to a gaze-independent P300-based BCI. In particular, we compared the results of four linear classifiers and one nonlinear: Fisher's linear discriminant analysis (LDA), stepwise linear discriminant analysis (SWLDA), Bayesian linear discriminant analys...