Al-Azhar, A Millennium of Muslim Learning by Bayard Dodge

By Bayard Dodge

Memorial variation. the aim of this booklet is to provide a reader who doesn't comprehend Arabic information regarding the main recognized establishment of the Muslim international and Islamic tradition.

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Due to the temporal character of gestures we focused on different HMM methods. The main conclusion regarding the automatic segmentation of gestures in real meetings is that it still a very challenging problem and the tested approaches do not give good segmentation performance for whole gestures, mainly due to the intrinsic structure of the gestures and the noise in the input features. An alternative approach is to develop segmentation algorithms for gesture parts and in preliminary evaluations this gave promising results.

In Proceedings ICSLP, 2002. [5] F. Cardinaux, C. Sanderson, and S. Bengio. Face verification using adapted generative models. In Int. Conf. on Automatic Face and Gesture Recognition, 2004. [6] F. Cardinaux, C. Sanderson, and S. Marcel. Comparison of MLP and GMM classifiers for face verification on XM2VTS. In Proc. IEEE AVBPA, 2003. [7] J. Carletta et al. The AMI meetings corpus. In Proc. Symposium on Annotating and measuring Meeting Behavior, 2005. [8] M. Fapso, P. Schwarz, I. Szoke, P. Smrz, M. Schwarz, J.

In a virtual environment an avatar was positioned at one side of the table. At the other side a number of balls where placed at eye height for the avatar. Persons where then asked to predict at which ball the avatar was looking at. As a first result we found that there is no significant difference for the location of the avatar. Furthermore no learning effect among the participants has been found. Decreasing the angle between the balls increases the judgement error. 57%. This shows that head orientation can be used as a cue for the FOA.

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