In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Scheduling algorithms for real-time systems can be characterized in various ways, one of the most important ones of which is the underlying task model. Many concepts of real-time ...
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
Surface pasting is a hierarchical modeling technique capable of adding local details to tensor product Bspline surfaces without incurring significant computational costs. In this...
This paper deals with the problem of estimating multiple motions at points where these motions are overlaid. We present a new approach that is based on block matching and can deal...