We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
This paper presents an analysis of feature-oriented and aspectoriented modularization approaches with respect to variability management as needed in the context of system families...
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
Thread migration/checkpointing is becoming indispensable for load balancing and fault tolerance in high performance computing applications, and its success depends on the migration...
The unfolding technique is an efficient tool to explore the runs of a Petri net in a true concurrency semantics, i.e. without constructing all the interleavings of concurrent actio...