We introduce a multi-label classification model and algorithm for labeling heterogeneous networks, where nodes belong to different types and different types have different sets of...
Ralitsa Angelova, Gjergji Kasneci, Fabian M. Sucha...
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in O...
Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe...
The scientific significance of automatic logo detection and recognition is more and more growing because of the increasing requirements of intelligent document image analysis an...
—Today verification, testing and debugging of SystemC models can be applied at an early stage in the design process. To support these techniques gaining required information of ...
—We have investigated the deformation of a soft fingertip when it slides. This process was first simulated using ANSYS software with non-linear Finite Element Analysis (FEA). B...
Van Anh Ho, Dzung Viet Dao, Susumu Sugiyama, Shini...