Clustering for better representation of the diversity of text or image search results has been studied extensively. In this paper, we extend this methodology to the novel domain o...
This paper reports on an empirical study aimed at evaluating the utility of a reality-augmenting telepointer in a wearable videoconference system. Results show that using this tel...
Knowledge sharing across community boundaries has been discussed in literature as an important source of new knowledge and innovation. Different studies point out the difficulties...
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...