We propose a new complexity measure for movement of objects, the smoothed motion complexity. Many applications are based on algorithms dealing with moving objects, but usually data...
Valentina Damerow, Friedhelm Meyer auf der Heide, ...
In this paper, we present a novel method to adapt the temporal radio maps for indoor location determination by offsetting the variational environmental factors using data mining t...
Detection of visually salient image regions is useful for
applications like object segmentation, adaptive compression,
and object recognition. In this paper, we introduce
a meth...
Radhakrishna Achanta, Sheila S. Hemami, Francisco ...
Service-oriented computing is becoming a direction of computing technology. For realising the mission of serviceoriented computing, service-oriented architecture has been proposed...
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...