As sensor networks increase in size and number, efficient techniques are required to process the very large data sets that they generate. Frequently, sensor networks monitor object...
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
: Moving Objects Databases have become an important research issue in recent years. For and querying moving objects, there exists a comprehensive framework of abstract data types t...
Ralf Hartmut Güting, Victor Teixeira de Almeida, ...
Abstract-- A large amount of the world's data is both sequential and imprecise. Such data is commonly modeled as Markovian streams; examples include words/sentences inferred f...
Julie Letchner, Christopher Re, Magdalena Balazins...
Text documents often embed data that is structured in nature. By processing a text database with information extraction systems, we can define a variety of structured "relati...