Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...
When we model a phenomenon we apply a perspective on the phenomenon. The perspective decides which properties we include in the model. It also decides how we conceive a phenomenon ...
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
−Document clustering has become an increasingly important task in analyzing huge numbers of documents distributed among various sites. The challenging aspect is to analyze this e...
We propose a novel testing approach that combines information from UML sequence models and state machine models. Current approaches that rely solely on sequence models do not cons...