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The objective of this study is to investigate alternative ways for representing suitably, with the fewest possible assumptions, the information derived from video recordings. It proposes a set of statistical descriptors capable of summarizing all the available information from each video frame. A sequence of such features expresses the object motion implicitly without the need for object detection...
Compared to physiologically based biometric systems such as fingerprint, face, palm-vein and retina, behavioral based biometric systems such as signature, voice, gait, etc. are less popular and many are still in their infancy. A major problem is due to inconsistencies in human behavior which require more robust algorithms in their developments. In this paper, an online signature verification system...
The disturbing sensitivity and robustness of combination of sigmoid function wavelet neural network are discussed by making use of probability statistics and symbolic logic. If the faint perturbation appears, the robust invariability condition of wavelet neural network is obtained, and if the sensitive disturbance appears, the sensitivity formula and robustness formula are given. It is proved theoretically...
The modern techniques in control and monitoring of drinking water, acquires a particular attention in the last few years. We attend more and more rigorous follow-ups of the quality of this resource, in order to master an effective control of the risks incurred for the public health. Several methods of control were implemented to meet this aim. In this paper, we present a comparative study of two techniques...
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