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Estimation of trust in ad-hoc networks is an inevitable basis for hybrid networks to inter-operate. The contributions in this paper provide a framework for estimating the trust between nodes in an ad hoc network based on quality of service parameters. Probabilities of transit time variation, deleted, multiplied and inserted packets, processing delays are used to estimate and update trust. Functions...
We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processing time of this new approach compared to the state-of-the-art method of classifying Gabor responses with support vector machines. Empirical results on the Cohn-Kanade facial expression database showed that the Haar+Adaboost...
We examined the open issue of whether FACS action units (AUs) can be recognized more accurately by classifying local regions around the eyes, brows, and mouth compared to analyzing the face as a whole. Our empirical results showed that, contrary to our intuition, local expression analysis showed no consistent improvement in recognition accuracy. Moreover, global analysis outperformed local analysis...
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