Abstract. A lot of recent applications dealing with complex data require sophisticated data structures (trees or graphs) for their specification. Recently, several techniques for ...
Sandra de Amo, Nyara A. Silva, Ronaldo P. Silva, F...
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
The paper studies the problem of maintaining external dynamic dictionaries with variable length keys. We introduce a new type of balanced trees, called S(b)-trees, which generaliz...
In this paper, we introduce a system, written in Haskell, for filtering information from XML data. Essentially, the system implements a simple declarative language which allows on...
Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, su...