Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
This paper presents the SkipTree, a new balanced, distributed data structure for storing data with multidimensional keys in a peer-topeer network. The SkipTree supports range quer...
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Mining frequent patterns has been a topic of active research because it is computationally the most expensive step in association rule discovery. In this paper, we discuss the use ...
Keyword searches are attractive because they facilitate users searching structured databases. On the other hand, tag clouds are popular for navigation and visualization purposes o...