Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and d...
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...
We propose an approach that integrates and extends known techniques from different areas to handle and analyze a complex and large system described as a network of synchronized com...
We define a natural notion of efficiency for approximate nearest-neighbor (ANN) search in general n-point metric spaces, namely the existence of a randomized algorithm which answ...
This paper presents lower bounds on the time- and space-complexity of implementations that use the k compare-and-swap (k-CAS) synchronization primitives. We prove that the use of ...