Emotion recognition is an attractive and essential topic in image signal processing. In this paper, we propose a multi-level fusion method to combine visual information physiological signals for emotion recognition. For information, serial of two-stage features enhance the representation facial expression video sequence. We integrate Neural Aggregation Network with Convolutional feature map rei...

abstract regarding the imprecise or fuzzy data on the agriculture activities, applying models based on fuzzy data may be useful. in line with this condition this study tries to compare the ability of possiblistic programming approach in developing optimal solution with fuzzy and deterministic programming. to get this objective a data set obtained from 90 farmers of kohgilooye region, gathered i...

being very dynamic, natural and artificial land features are changing somewhat rapidly in over lifetime. it is important that such changes be inventoried accurately so that the physical and human processes at work can be more fully understood. change detection is a technique used in remote sensing to determine the changes in a particular object of study between two or more time periods. this re...

Multi-label classification refers to the task of predicting potentially multiple labels for a given instance. Conventional multi-label classification approaches focus on the single objective setting, where the learning algorithm optimizes over a single performance criterion (e.g. Ranking Loss) or a heuristic function. The basic assumption is that the optimization over one single objective can i...

Fukunaga-Koontz Transform (FKT) is a statistical technique which has many application areas for two-class classification or detection problems. In this paper, we have proposed improved target detection algorithm for hyperspectral imagery (HSI) based on enhanced FKT which gives better results for multi-class target detection problems. Hyperspectral imagery is popular for target detection applica...