The problem of identifying approximately duplicate records in databases is an essential step for data cleaning and data integration processes. Most existing approaches have relied...
: 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, ...
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
: This paper describes ASF, a novel cell-level analog synthesis framework that can size and bias a given circuit topology subject to a set of performance objectives and a manufactu...
Michael Krasnicki, Rodney Phelps, James R. Hellums...