In preemptive real-time systems, scheduling analyses need—in addition to the worst-case execution time—the context-switch cost. In case of preemption, the preempted and the pr...
Wireless sensor networks have mainly been designed for information-collecting purposes, such as habitat monitoring, product process tracing, battlefield surveillance, etc. In orde...
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
In 2002 Jackson et al. [JKS02] asked whether AC0 circuits augmented with a threshold gate at the output can be efficiently learned from uniform random examples. We answer this ques...
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...