By M. Plionis, et al.,
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Extra info for A Pan-Chromatic Vw of Clusts of Galaxies and the Lg-Scale Struct
On the other hand, we have solid evidence that humans are superb at dealing with large volumes of disparate data using their sensors. Especially the human visual system is quite successful in understanding the surrounding environment at appropriate accuracy quite efficiently. We argue that like in the case of human perception, multimedia analysis should be placed in the context of its experiential environment. It should have the following characteristics: 1. , to selectively process the data that it observes or gathers based on the context.
On the contrary, we believe that to achieve adequate performance in practical tasks, domain specific knowledge is essential. Our challenge is to understand this kind of knowledge and develop ways of learning domain-specific methods. 18 4 Claude Sammut Localisation A common problem in mobile robots of all kinds is localisation, that is, maintaining an accurate estimate of its position. The most complex form of the problem requires the robot to build a map of an unknown environment while simultaneously locating itself within the map.
And Yao, A. , ”An Almost Optimal Algorithm for Unbounded Searching”, Information Processing Letters, Aug. 82-87. 0). 36 B. John Oommen et al. , A First Course on Stochastic Processes , 2nd. ,Academic Press , 1974.  Kashyap, R. , and Oommen, B. , “Scale Preserving Smoothing of Polygons”, IEEE Trans. on Pat. Anal. and Mach. , Nov. 1983, pp. 667-671. , Learning Algorithms Theory and Applications, Springer- Verlag, 1981.  Lancôt, J. K. and Oommen, B. , “Discretized Estimator Learning Automata”,             IEEE Trans.
A Pan-Chromatic Vw of Clusts of Galaxies and the Lg-Scale Struct by M. Plionis, et al.,