This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Exponentially rising cooling/packaging costs due to high power density call for architectural and software-level thermal management. Dynamic thermal management (DTM) techniques co...
Software evolution research inherently has several resourceintensive logistical constraints. Archived project artifacts, such as those found in source code repositories and bug tr...
Jennifer Bevan, E. James Whitehead Jr., Sunghun Ki...
While the idea that querying mechanisms for complex relationships (otherwise known as Semantic Associations) should be integral to Semantic Web search technologies has recently ga...