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This paper reports on classification methods applied and tested for land use classification in a semi-arid environment. Our study, conducted on two irrigated sites located in the Kairouan region, the largest irrigated region in Tunisia, compared Support Vector Machine (SVM) and Maximum Likelihood classification of SPOT-7 data. To produce a per-field classification a Mean-Shift Segmentation has been...
Emotion recognition becomes an investigated topic in affective computing for several applications. The presented paper aims to recognize human emotions using peripheral physiological signals as well as electrocardiogram (ECG), galvanic skin response (GSR), Skin Temperature (Temp) and respiration volume (RV). To achieve this purpose, we develop our work with the multimodal database MAHNOB-HCI. The...
I-vector space feature has been recently proved to be very efficient in speaker recognition field. In this paper, we assess using the i-vector approach for emotional speaker recognition in order to boost the performance which is deteriorated by emotions. The key idea of the i-vector algorithm is to represent each speaker by a fixed length and low dimensional feature vector. The concatenation of these...
This paper presents an approach to ensure first order closed loop systems stability and robustness. Actually, those systems are characterized by uncertain bounded parameters and a complex changeable structure. Delay time is also an important drawback facing most of the systems stability. Thus, the idea of this paper is to conceive a reliable and intelligent controller switched according to the SVM...
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