Software continually changes due to performance improvements, new requirements, bug fixes, and adaptation to a changing operational environment. Common changes include modificatio...
Sunghun Kim, E. James Whitehead Jr., Jennifer Beva...
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
One of the main goals of coverage tools is to provide the user with informative presentation of coverage information. Specifically, information on large, cohesive sets of uncovere...
Binary Decision Diagrams (BDDs) have recently become widely accepted as a space-efficient method of representing relations in points-to analyses. When BDDs are used to represent re...
Music and songs usually have repeating patterns and prominent structure. The automatic extraction of such repeating patterns and structure is useful for further music summarizatio...