SEMCO
2007
IEEE
13 years 10 months ago
2007
IEEE
Despite continuing advances in machine translation technology, users who lack familiarity with particular foreign languages have no good way to find information in those languages...
SEMCO
2007
IEEE
13 years 10 months ago
2007
IEEE
Human visual recognition is based largely on shape, yet effectively using shapes in natural image retrieval is a challenging task. Most existing methods are based on the geometric...
SEMCO
2007
IEEE
13 years 10 months ago
2007
IEEE
One of the key objectives of web service technology is to construct processes that enable service providers to inter-connect with their clients. The industry has developed the UDD...
SEMCO
2007
IEEE
13 years 10 months ago
2007
IEEE
This paper presents the results of a pilot study on using automatic text categorization techniques in identifying online sexual predators. We report on our SVM and k-NN models. Ou...
SEMCO
2007
IEEE
13 years 10 months ago
2007
IEEE
Model-driven development depends on good initial models. Creating these models by hand is a challenging task, because of complex specification documents and change requests. We p...
SEMCO
2008
IEEE
13 years 10 months ago
2008
IEEE
SEMCO
2008
IEEE
13 years 10 months ago
2008
IEEE
In this paper, we consider a sentiment regression problem: summarizing the overall sentiment of a review with a real-valued score. Empirical results on a set of labeled reviews sh...
SEMCO
2008
IEEE
13 years 10 months ago
2008
IEEE
A central problem in automatic sound recognition is the mapping between low-level audio features and the meaningful content of an auditory scene. We propose a dynamic network mode...
SEMCO
2008
IEEE
13 years 10 months ago
2008
IEEE
We developed a novel analytical environment to aid in the examination of the extensive amount of interconnected data available for genome projects. Our focus is to enable ity and ...
SEMCO
2008
IEEE
13 years 10 months ago
2008
IEEE
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...