This paper details an empirical study of large image sets taken by static cameras. These images have consistent correlations over the entire image and over time scales of days to ...
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Object-oriented and object-relational DBMS support setvalued attributes, which are a natural and concise way to model complex information. However, there has been limited research...
This paper investigates the scheduling of mixed-parallel applications, which exhibit both task and data parallelism, in advance reservations settings. Both the problem of minimizi...
This paper describes a new method for the classification of a HTML document into a hierarchy of categories. The hierarchy of categories is involved in all phases of automated docum...